Data Scientist (Entry Principal Level) (0.5 FTE 1.0 FTE) - University of Colorado
Aurora, CO
About the Job
Data Scientist (Entry Principal Level) (0.5 FTE 1.0 FTE)
Description
University of Colorado Anschutz Medical Campus
School of Medicine | Department of Biomedical Informatics
Job Title: Data Scientist (Entry - Principal Level) (0.5 FTE - 1.0 FTE)
Position: #00822509 - Requisition: #35396
_This position is offered at full-time (1.0 FTE); however, candidates may request part-time employment and/or flexible hours as a minimum of 20 hours per week (0.5 FTE)._
Job Summary:
Key Responsibilities:
+ Develop research software: design, implement, test, support, update and maintain efficient genomics algorithms.
+ Develop and deploy computational workflows in HPC and cloud environments.
+ Analyze and synthesize large genomic datasets, using data visualization, statistics, machine learning and maintaining rigorous quality control.
+ Develop and maintain scientific web tools and data resources.
+ Provide quality mentorship and training to lab mentors, including students, postdocs, and staff.
+ Lead and contribute to writing scientific papers, grants, presentations, and documentation.
Work Location:
Hybrid
Why Join Us:
Why work for the University?
+ Medical: Multiple plan options
+ Dental: Multiple plan options
+ Additional Insurance: Disability, Life, Vision
+ Retirement 401(a) Plan: Employer contributes 10% of your gross pay
+ Paid Time Off: Accruals over the year
+ Vacation Days: 22/year (maximum accrual 352 hours)
+ Sick Days: 15/year (unlimited maximum accrual)
+ Holiday Days: 10/year
+ Tuition Benefit: Employees have access to this benefit on all CU campuses
+ ECO Pass: Reduced rate RTD Bus and light rail service
Position: # 00822509 - Requisition: #35396
_This position is offered at full-time (1.0 FTE); however, candidates may request part-time employment and/or flexible hours as a minimum of 20 hours per week (0.5 FTE)._
Job Summary:
Key Responsibilities:
+ Develop research software: design, implement, test, support, update and maintain efficient genomics algorithms.
+ Develop and deploy computational workflows in HPC and cloud environments.
+ Analyze and synthesize large genomic datasets, using data visualization, statistics, machine learning and maintaining rigorous quality control.
+ Develop and maintain scientific web tools and data resources.
+ Provide quality mentorship and training to lab mentors, including students, postdocs, and staff.
+ Lead and contribute to writing scientific papers, grants, presentations, and documentation.
Work Location:
Hybrid
Why Join Us:
Why work for the University?
+ Medical: Multiple plan options
+ Dental: Multiple plan options
+ Additional Insurance: Disability, Life, Vision
+ Retirement 401(a) Plan: Employer contributes 10% of your gross pay
+ Paid Time Off: Accruals over the year
+ Vacation Days: 22/year (maximum accrual 352 hours)
+ Sick Days: 15/year (unlimited maximum accrual)
+ Holiday Days: 10/year
+ Tuition Benefit: Employees have access to this benefit on all CU campuses
+ ECO Pass: Reduced rate RTD Bus and light rail service
_This position is offered at full-time (1.0 FTE); however, candidates may request part-time employment and/or flexible hours as a minimum of 20 hours per week (0.5 FTE)._
Job Summary:
Key Responsibilities:
+ Develop research software: design, implement, test, support, update and maintain efficient genomics algorithms.
+ Develop and deploy computational workflows in HPC and cloud environments.
+ Analyze and synthesize large genomic datasets, using data visualization, statistics, machine learning and maintaining rigorous quality control.
+ Develop and maintain scientific web tools and data resources.
+ Provide quality mentorship and training to lab mentors, including students, postdocs, and staff.
+ Lead and contribute to writing scientific papers, grants, presentations, and documentation.
Work Location:
Hybrid
Why Join Us:
Why work for the University?
+ Medical: Multiple plan options
+ Dental: Multiple plan options
+ Additional Insurance: Disability, Life, Vision
+ Retirement 401(a) Plan: Employer contributes 10% of your gross pay
+ Paid Time Off: Accruals over the year
+ Vacation Days: 22/year (maximum accrual 352 hours)
+ Sick Days: 15/year (unlimited maximum accrual)
+ Holiday Days: 10/year
+ Tuition Benefit: Employees have access to this benefit on all CU campuses
+ ECO Pass: Reduced rate RTD Bus and light rail service
Diversity and Equity:
Qualifications:
Minimum Qualifications:
_Entry Level:_
+ Bachelor's degree in bioinformatics, computational biology, data science, computer science, human genomics, statistics, or related field.
+ A combination of education and related technical/paraprofessional experience may be substituted for the bachelor's degree on a year for year basis.
_Intermediate Level:_
+ Bachelor's degree in bioinformatics, computational biology, data science, computer science, human genomics, statistics, or related field.
+ A combination of education and related technical/paraprofessional experience may be substituted for the bachelor's degree on a year for year basis.
+ One (1) year of related experience in genomics and data science.
_Senior Level:_
+ Bachelor's degree in bioinformatics, computational biology, data science, computer science, human genomics, statistics, or related field.
+ A combination of education and related technical/paraprofessional experience may be substituted for the bachelor's degree on a year for year basis.
+ Two (2) years of related experience in genomics and data science.
_Principal Level:_
+ Bachelor's degree in bioinformatics, computational biology, data science, computer science, human genomics, statistics, or related field.
+ A combination of education and related technical/paraprofessional experience may be substituted for the bachelor's degree on a year for year basis.
+ Three (3) years of related experience in genomics and data science.
_Applicants must meet minimum qualifications at the time of hire._
Preferred Qualifications
+ Documented open-source contributions.
+ Experience with genomics data.
+ One (1) to four (4) years of experience in data science.
+ Experience developing scientific software and/or designing efficient algorithms.
+ Experience with a workflow development language (e.g. Nextflow, Snakemake, WDL, Bpipe).
Knowledge, Skills, and Abilities (KSA's):
+ Demonstrated fluency in one or more programming languages (e.g., Rust, Python, R, Java, Groovy, C++, Nim) and willingness to learn new programming languages as necessary.
+ Ability to analyze and solve complex problems and apply quantitative analytical approaches, for example data analysis, visualization, and statistics.
+ Familiarity with cloud and high-performance computing environments.
+ Familiarity with genomic software and data formats, for example BAM, VCF, read aligners and variant callers.
+ Demonstrated commitment to advancing diversity and inclusion.
+ Ability to communicate effectively, both in writing and in person.
+ Ability to manage priorities and deadlines.
How to Apply:
Screening of Applications Begins:
November 13 th , 2024
Anticipated Pay Range:
_or hiring range_
_Entry Level:_
_Intermediate Level:_
_Senior Level:_
_Principal Level:_
_or hiring range_
_Principal Level:_
_or hiring range_
ADA Statement:
Background Check Statement:
Vaccination Statement:
Qualifications
Job Category
Primary Location
Schedule
Posting Date
Unposting Date
To apply, visit https://cu.taleo.net/careersection/2/jobdetail.ftl?job=35396&lang=en (https://apptrkr.com/5785913)
Copyright 2024 Jobelephant.com Inc. All rights reserved.
Posted by the FREE value-added recruitment advertising agency (https://www.jobelephant.com/)
Data Scientist (Entry - Principal Level) (0.5 FTE - 1.0 FTE) - 35396 University Staff
The Dashnow Lab in the Department of Biomedical Informatics at the University of Colorado Anschutz Medical Campus is seeking a Data Scientist (Entry - Principal Level) with a background in computer science, data science, human genomics, bioinformatics, computational biology, statistics, or related fields. This role can also be described as a scientific software developer, staff scientist, data analyst or computational research assistant. Individuals from diverse or non-traditional backgrounds are strongly encouraged to apply, including those transitioning fields. The Dashnow Lab develops computational genomics methods to understand the genetic underpinnings of rare diseases and increase diagnoses. We have particular expertise in difficult-to-genotype repetitive regions such as tandem repeats. We develop and apply these methods at scale to current and emerging DNA sequencing technologies. Our research directly impacts individuals with rare diseases and their families, giving them answers and hope for treatment after a long diagnostic odyssey. The lab has strong national and international collaborations, including with large, rare disease and population consortiums and with industry. Current project funding supports new approaches for diagnosis and gene discovery for short tandem repeat diseases, computational methods development for both short and long-read sequencing technologies, and population genetics. The Data Scientist will develop genomics software and computational workflows, analyze genomics datasets, and provide genomic and data science leadership to the lab. They will both lead projects and support projects led by other lab members or collaborators.
- This role is eligible for a hybrid schedule of 2-4 days per week on campus and as needed for in-person meetings. The position is based at the University of Colorado, Anschutz campus in Aurora, Colorado.
The Department of Biomedical Informatics (DBMI), located in the magnificent new Health Science building with a fabulous view of the Rocky Mountains, provides a fantastic environment for you to thrive and pursue your career goals. DBMI has a dedicated team for Grants Development and Scientific Writing, and a Software Engineering Team that can provide invaluable feedback to improve the quality of your code and your programming skills. The Dashnow Lab welcomes diverse backgrounds. While this position requires computational skills, applicants are highly encouraged to apply even if they don't have all the preferred qualifications, since it is understood that many skills will be learned on the job, including genetics, and data analysis. The PI is committed to supporting the candidate's career development, including exploring new project areas and collaborations. The Professional and PI will jointly envision projects tailored to the Professional's skillset and long-term career goals. We have AMAZING benefits and offerexceptional amounts of holiday, vacation, and sick leave! The University of Colorado offers an excellent benefits package including: There are many additional perks & programs with the https://apptrkr.com/get_redirect.php?id=5785913&targetURL=Data Scientist (Entry - Principal Level) (0.5 FTE - 1.0 FTE)
The Dashnow Lab in the Department of Biomedical Informatics at the University of Colorado Anschutz Medical Campus is seeking a Data Scientist (Entry - Principal Level) with a background in computer science, data science, human genomics, bioinformatics, computational biology, statistics, or related fields. This role can also be described as a scientific software developer, staff scientist, data analyst or computational research assistant. Individuals from diverse or non-traditional backgrounds are strongly encouraged to apply, including those transitioning fields. The Dashnow Lab develops computational genomics methods to understand the genetic underpinnings of rare diseases and increase diagnoses. We have particular expertise in difficult-to-genotype repetitive regions such as tandem repeats. We develop and apply these methods at scale to current and emerging DNA sequencing technologies. Our research directly impacts individuals with rare diseases and their families, giving them answers and hope for treatment after a long diagnostic odyssey. The lab has strong national and international collaborations, including with large, rare disease and population consortiums and with industry. Current project funding supports new approaches for diagnosis and gene discovery for short tandem repeat diseases, computational methods development for both short and long-read sequencing technologies, and population genetics. The Data Scientist will develop genomics software and computational workflows, analyze genomics datasets, and provide genomic and data science leadership to the lab. They will both lead projects and support projects led by other lab members or collaborators.
- This role is eligible for a hybrid schedule of 2-4 days per week on campus and as needed for in-person meetings. The position is based at the University of Colorado, Anschutz campus in Aurora, Colorado.
The Department of Biomedical Informatics (DBMI), located in the magnificent new Health Science building with a fabulous view of the Rocky Mountains, provides a fantastic environment for you to thrive and pursue your career goals. DBMI has a dedicated team for Grants Development and Scientific Writing, and a Software Engineering Team that can provide invaluable feedback to improve the quality of your code and your programming skills. The Dashnow Lab welcomes diverse backgrounds. While this position requires computational skills, applicants are highly encouraged to apply even if they don't have all the preferred qualifications, since it is understood that many skills will be learned on the job, including genetics, and data analysis. The PI is committed to supporting the candidate's career development, including exploring new project areas and collaborations. The Professional and PI will jointly envision projects tailored to the Professional's skillset and long-term career goals. We have AMAZING benefits and offerexceptional amounts of holiday, vacation, and sick leave! The University of Colorado offers an excellent benefits package including: There are many additional perks & programs with the https://apptrkr.com/get_redirect.php?id=5785913&targetURL=00822509 - Requisition: #35396
The Dashnow Lab in the Department of Biomedical Informatics at the University of Colorado Anschutz Medical Campus is seeking a Data Scientist (Entry - Principal Level) with a background in computer science, data science, human genomics, bioinformatics, computational biology, statistics, or related fields. This role can also be described as a scientific software developer, staff scientist, data analyst or computational research assistant. Individuals from diverse or non-traditional backgrounds are strongly encouraged to apply, including those transitioning fields. The Dashnow Lab develops computational genomics methods to understand the genetic underpinnings of rare diseases and increase diagnoses. We have particular expertise in difficult-to-genotype repetitive regions such as tandem repeats. We develop and apply these methods at scale to current and emerging DNA sequencing technologies. Our research directly impacts individuals with rare diseases and their families, giving them answers and hope for treatment after a long diagnostic odyssey. The lab has strong national and international collaborations, including with large, rare disease and population consortiums and with industry. Current project funding supports new approaches for diagnosis and gene discovery for short tandem repeat diseases, computational methods development for both short and long-read sequencing technologies, and population genetics. The Data Scientist will develop genomics software and computational workflows, analyze genomics datasets, and provide genomic and data science leadership to the lab. They will both lead projects and support projects led by other lab members or collaborators.
- This role is eligible for a hybrid schedule of 2-4 days per week on campus and as needed for in-person meetings. The position is based at the University of Colorado, Anschutz campus in Aurora, Colorado.
The Department of Biomedical Informatics (DBMI), located in the magnificent new Health Science building with a fabulous view of the Rocky Mountains, provides a fantastic environment for you to thrive and pursue your career goals. DBMI has a dedicated team for Grants Development and Scientific Writing, and a Software Engineering Team that can provide invaluable feedback to improve the quality of your code and your programming skills. The Dashnow Lab welcomes diverse backgrounds. While this position requires computational skills, applicants are highly encouraged to apply even if they don't have all the preferred qualifications, since it is understood that many skills will be learned on the job, including genetics, and data analysis. The PI is committed to supporting the candidate's career development, including exploring new project areas and collaborations. The Professional and PI will jointly envision projects tailored to the Professional's skillset and long-term career goals. We have AMAZING benefits and offerexceptional amounts of holiday, vacation, and sick leave! The University of Colorado offers an excellent benefits package including: There are many additional perks & programs with the CU Advantage (https://apptrkr.com/get_redirect.php?id=5785913&targetURL=https://advantage.cu.edu/) .
The University of Colorado Anschutz Medical Campus is committed to recruiting and supporting a diverse student body, faculty, and administrative staff. The university strives to promote a culture of inclusiveness, respect, communication and understanding. We encourage applications from women, ethnically minoritized individuals, persons with disabilities, persons within the LGBTQ+ community and all veterans. In addition, the Anschutz Campus has also been recognized as an Age-Friendly University. The University of Colorado is committed to diversity and equality in education and employment.
For full consideration, please submit the following document(s): 1. A letter of interest describing how your background and interests make you a good fit for this specific lab. Please briefly address each bullet point listed under the Knowledge, Skills, and Abilities section. 2. Curriculum vitae / Resume 3. Three to five professional references, including name, address, phone number (mobile number if appropriate), and email address. 4. Links to 1-3 source code repositories with open-source contributions, if applicable. Questions should be directed to: DBMI.HR, dbmi.hr@cuanschutz.edu (https://apptrkr.com/get_redirect.php?id=5785913&targetURL=dbmi.hr@cuanschutz.edu)
Immediately and continues until .
The starting salary range () for this full-time (1.0 FTE) position has been established as: $71,800 - $80,000 $78,100 - $89,000 $84,419 - $95,000 $97,081 - $107,000 The above salary range () represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. This position may be eligible for overtime compensation, depending on the level. Your total compensation goes beyond the number on your paycheck. The University of Colorado provides generous leave, health plans and retirement contributions that add to your bottom line. Total Compensation Calculator: https://apptrkr.com/get_redirect.php?id=5785913&targetURL= $97,081 - $107,000 The above salary range () represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. This position may be eligible for overtime compensation, depending on the level. Your total compensation goes beyond the number on your paycheck. The University of Colorado provides generous leave, health plans and retirement contributions that add to your bottom line. Total Compensation Calculator: http://www.cu.edu/node/153125 (https://apptrkr.com/get_redirect.php?id=5785913&targetURL=http://www.cu.edu/node/153125)
The University will provide reasonable accommodations to applicants with disabilities throughout the employment application process. To request an accommodation pursuant to the Americans with Disabilities Act, please contact the Human Resources ADA Coordinator at hr.adacoordinator@cuanschutz.edu (https://apptrkr.com/get_redirect.php?id=5785913&targetURL=hr.adacoordinator@cuanschutz.edu) .
The University of Colorado Anschutz Medical Campus is dedicated to ensuring a safe and secure environment for our faculty, staff, students, and visitors. To assist in achieving that goal, we conduct background investigations for all prospective employees.
CU Anschutz strongly encourages vaccination against the COVID-19 virus and other vaccine preventable diseases (https://apptrkr.com/get_redirect.php?id=5785913&targetURL=https://www.cdc.gov/vaccines/schedules/downloads/adult/adult-combined-schedule.pdf) . If you work, visit, or volunteer in healthcare facilities or clinics operated by our affiliated hospital or clinical partners or by CU Anschutz, you will be required to comply with the vaccination and medical surveillance policies of the facilities or clinics where you work, visit, or volunteer, respectively. In addition, if you work in certain research areas or perform certain safety sensitive job duties, you must enroll in the occupational health medical surveillance program (https://apptrkr.com/get_redirect.php?id=5785913&targetURL=https://research.cuanschutz.edu/ehs/home/divisions/occupational-health/oh-enrollment) .
Application Materials Required: Cover Letter, Resume/CV, List of References : Information Technology : Hybrid Department: U0001 -- Anschutz Med Campus or Denver - 21925 - SOM-BIOMED Informatics Gen Ops : Full-time : Nov 6, 2024 : Nov 14, 2024, 6:59:00 AM Posting Contact Name: DBMI.HR Posting Contact Email: dbmi.hr@cuanschutz.edu (https://apptrkr.com/get_redirect.php?id=5785913&targetURL=dbmi.hr@cuanschutz.edu) Position Number: 00822509jeid-f57083810b4f134e88b5f8f2a9ccf685
The University of Colorado does not discriminate on the basis of race, color, national origin, sex, age, pregnancy, disability, creed, religion, sexual orientation, gender identity, gender expression, veteran status, political affiliation, or political philosophy. All qualified individuals are encouraged to apply.
Description
University of Colorado Anschutz Medical Campus
School of Medicine | Department of Biomedical Informatics
Job Title: Data Scientist (Entry - Principal Level) (0.5 FTE - 1.0 FTE)
Position: #00822509 - Requisition: #35396
_This position is offered at full-time (1.0 FTE); however, candidates may request part-time employment and/or flexible hours as a minimum of 20 hours per week (0.5 FTE)._
Job Summary:
Key Responsibilities:
+ Develop research software: design, implement, test, support, update and maintain efficient genomics algorithms.
+ Develop and deploy computational workflows in HPC and cloud environments.
+ Analyze and synthesize large genomic datasets, using data visualization, statistics, machine learning and maintaining rigorous quality control.
+ Develop and maintain scientific web tools and data resources.
+ Provide quality mentorship and training to lab mentors, including students, postdocs, and staff.
+ Lead and contribute to writing scientific papers, grants, presentations, and documentation.
Work Location:
Hybrid
Why Join Us:
Why work for the University?
+ Medical: Multiple plan options
+ Dental: Multiple plan options
+ Additional Insurance: Disability, Life, Vision
+ Retirement 401(a) Plan: Employer contributes 10% of your gross pay
+ Paid Time Off: Accruals over the year
+ Vacation Days: 22/year (maximum accrual 352 hours)
+ Sick Days: 15/year (unlimited maximum accrual)
+ Holiday Days: 10/year
+ Tuition Benefit: Employees have access to this benefit on all CU campuses
+ ECO Pass: Reduced rate RTD Bus and light rail service
Position: # 00822509 - Requisition: #35396
_This position is offered at full-time (1.0 FTE); however, candidates may request part-time employment and/or flexible hours as a minimum of 20 hours per week (0.5 FTE)._
Job Summary:
Key Responsibilities:
+ Develop research software: design, implement, test, support, update and maintain efficient genomics algorithms.
+ Develop and deploy computational workflows in HPC and cloud environments.
+ Analyze and synthesize large genomic datasets, using data visualization, statistics, machine learning and maintaining rigorous quality control.
+ Develop and maintain scientific web tools and data resources.
+ Provide quality mentorship and training to lab mentors, including students, postdocs, and staff.
+ Lead and contribute to writing scientific papers, grants, presentations, and documentation.
Work Location:
Hybrid
Why Join Us:
Why work for the University?
+ Medical: Multiple plan options
+ Dental: Multiple plan options
+ Additional Insurance: Disability, Life, Vision
+ Retirement 401(a) Plan: Employer contributes 10% of your gross pay
+ Paid Time Off: Accruals over the year
+ Vacation Days: 22/year (maximum accrual 352 hours)
+ Sick Days: 15/year (unlimited maximum accrual)
+ Holiday Days: 10/year
+ Tuition Benefit: Employees have access to this benefit on all CU campuses
+ ECO Pass: Reduced rate RTD Bus and light rail service
_This position is offered at full-time (1.0 FTE); however, candidates may request part-time employment and/or flexible hours as a minimum of 20 hours per week (0.5 FTE)._
Job Summary:
Key Responsibilities:
+ Develop research software: design, implement, test, support, update and maintain efficient genomics algorithms.
+ Develop and deploy computational workflows in HPC and cloud environments.
+ Analyze and synthesize large genomic datasets, using data visualization, statistics, machine learning and maintaining rigorous quality control.
+ Develop and maintain scientific web tools and data resources.
+ Provide quality mentorship and training to lab mentors, including students, postdocs, and staff.
+ Lead and contribute to writing scientific papers, grants, presentations, and documentation.
Work Location:
Hybrid
Why Join Us:
Why work for the University?
+ Medical: Multiple plan options
+ Dental: Multiple plan options
+ Additional Insurance: Disability, Life, Vision
+ Retirement 401(a) Plan: Employer contributes 10% of your gross pay
+ Paid Time Off: Accruals over the year
+ Vacation Days: 22/year (maximum accrual 352 hours)
+ Sick Days: 15/year (unlimited maximum accrual)
+ Holiday Days: 10/year
+ Tuition Benefit: Employees have access to this benefit on all CU campuses
+ ECO Pass: Reduced rate RTD Bus and light rail service
Diversity and Equity:
Qualifications:
Minimum Qualifications:
_Entry Level:_
+ Bachelor's degree in bioinformatics, computational biology, data science, computer science, human genomics, statistics, or related field.
+ A combination of education and related technical/paraprofessional experience may be substituted for the bachelor's degree on a year for year basis.
_Intermediate Level:_
+ Bachelor's degree in bioinformatics, computational biology, data science, computer science, human genomics, statistics, or related field.
+ A combination of education and related technical/paraprofessional experience may be substituted for the bachelor's degree on a year for year basis.
+ One (1) year of related experience in genomics and data science.
_Senior Level:_
+ Bachelor's degree in bioinformatics, computational biology, data science, computer science, human genomics, statistics, or related field.
+ A combination of education and related technical/paraprofessional experience may be substituted for the bachelor's degree on a year for year basis.
+ Two (2) years of related experience in genomics and data science.
_Principal Level:_
+ Bachelor's degree in bioinformatics, computational biology, data science, computer science, human genomics, statistics, or related field.
+ A combination of education and related technical/paraprofessional experience may be substituted for the bachelor's degree on a year for year basis.
+ Three (3) years of related experience in genomics and data science.
_Applicants must meet minimum qualifications at the time of hire._
Preferred Qualifications
+ Documented open-source contributions.
+ Experience with genomics data.
+ One (1) to four (4) years of experience in data science.
+ Experience developing scientific software and/or designing efficient algorithms.
+ Experience with a workflow development language (e.g. Nextflow, Snakemake, WDL, Bpipe).
Knowledge, Skills, and Abilities (KSA's):
+ Demonstrated fluency in one or more programming languages (e.g., Rust, Python, R, Java, Groovy, C++, Nim) and willingness to learn new programming languages as necessary.
+ Ability to analyze and solve complex problems and apply quantitative analytical approaches, for example data analysis, visualization, and statistics.
+ Familiarity with cloud and high-performance computing environments.
+ Familiarity with genomic software and data formats, for example BAM, VCF, read aligners and variant callers.
+ Demonstrated commitment to advancing diversity and inclusion.
+ Ability to communicate effectively, both in writing and in person.
+ Ability to manage priorities and deadlines.
How to Apply:
Screening of Applications Begins:
November 13 th , 2024
Anticipated Pay Range:
_or hiring range_
_Entry Level:_
_Intermediate Level:_
_Senior Level:_
_Principal Level:_
_or hiring range_
_Principal Level:_
_or hiring range_
ADA Statement:
Background Check Statement:
Vaccination Statement:
Qualifications
Job Category
Primary Location
Schedule
Posting Date
Unposting Date
To apply, visit https://cu.taleo.net/careersection/2/jobdetail.ftl?job=35396&lang=en (https://apptrkr.com/5785913)
Copyright 2024 Jobelephant.com Inc. All rights reserved.
Posted by the FREE value-added recruitment advertising agency (https://www.jobelephant.com/)
Data Scientist (Entry - Principal Level) (0.5 FTE - 1.0 FTE) - 35396 University Staff
The Dashnow Lab in the Department of Biomedical Informatics at the University of Colorado Anschutz Medical Campus is seeking a Data Scientist (Entry - Principal Level) with a background in computer science, data science, human genomics, bioinformatics, computational biology, statistics, or related fields. This role can also be described as a scientific software developer, staff scientist, data analyst or computational research assistant. Individuals from diverse or non-traditional backgrounds are strongly encouraged to apply, including those transitioning fields. The Dashnow Lab develops computational genomics methods to understand the genetic underpinnings of rare diseases and increase diagnoses. We have particular expertise in difficult-to-genotype repetitive regions such as tandem repeats. We develop and apply these methods at scale to current and emerging DNA sequencing technologies. Our research directly impacts individuals with rare diseases and their families, giving them answers and hope for treatment after a long diagnostic odyssey. The lab has strong national and international collaborations, including with large, rare disease and population consortiums and with industry. Current project funding supports new approaches for diagnosis and gene discovery for short tandem repeat diseases, computational methods development for both short and long-read sequencing technologies, and population genetics. The Data Scientist will develop genomics software and computational workflows, analyze genomics datasets, and provide genomic and data science leadership to the lab. They will both lead projects and support projects led by other lab members or collaborators.
- This role is eligible for a hybrid schedule of 2-4 days per week on campus and as needed for in-person meetings. The position is based at the University of Colorado, Anschutz campus in Aurora, Colorado.
The Department of Biomedical Informatics (DBMI), located in the magnificent new Health Science building with a fabulous view of the Rocky Mountains, provides a fantastic environment for you to thrive and pursue your career goals. DBMI has a dedicated team for Grants Development and Scientific Writing, and a Software Engineering Team that can provide invaluable feedback to improve the quality of your code and your programming skills. The Dashnow Lab welcomes diverse backgrounds. While this position requires computational skills, applicants are highly encouraged to apply even if they don't have all the preferred qualifications, since it is understood that many skills will be learned on the job, including genetics, and data analysis. The PI is committed to supporting the candidate's career development, including exploring new project areas and collaborations. The Professional and PI will jointly envision projects tailored to the Professional's skillset and long-term career goals. We have AMAZING benefits and offerexceptional amounts of holiday, vacation, and sick leave! The University of Colorado offers an excellent benefits package including: There are many additional perks & programs with the https://apptrkr.com/get_redirect.php?id=5785913&targetURL=Data Scientist (Entry - Principal Level) (0.5 FTE - 1.0 FTE)
The Dashnow Lab in the Department of Biomedical Informatics at the University of Colorado Anschutz Medical Campus is seeking a Data Scientist (Entry - Principal Level) with a background in computer science, data science, human genomics, bioinformatics, computational biology, statistics, or related fields. This role can also be described as a scientific software developer, staff scientist, data analyst or computational research assistant. Individuals from diverse or non-traditional backgrounds are strongly encouraged to apply, including those transitioning fields. The Dashnow Lab develops computational genomics methods to understand the genetic underpinnings of rare diseases and increase diagnoses. We have particular expertise in difficult-to-genotype repetitive regions such as tandem repeats. We develop and apply these methods at scale to current and emerging DNA sequencing technologies. Our research directly impacts individuals with rare diseases and their families, giving them answers and hope for treatment after a long diagnostic odyssey. The lab has strong national and international collaborations, including with large, rare disease and population consortiums and with industry. Current project funding supports new approaches for diagnosis and gene discovery for short tandem repeat diseases, computational methods development for both short and long-read sequencing technologies, and population genetics. The Data Scientist will develop genomics software and computational workflows, analyze genomics datasets, and provide genomic and data science leadership to the lab. They will both lead projects and support projects led by other lab members or collaborators.
- This role is eligible for a hybrid schedule of 2-4 days per week on campus and as needed for in-person meetings. The position is based at the University of Colorado, Anschutz campus in Aurora, Colorado.
The Department of Biomedical Informatics (DBMI), located in the magnificent new Health Science building with a fabulous view of the Rocky Mountains, provides a fantastic environment for you to thrive and pursue your career goals. DBMI has a dedicated team for Grants Development and Scientific Writing, and a Software Engineering Team that can provide invaluable feedback to improve the quality of your code and your programming skills. The Dashnow Lab welcomes diverse backgrounds. While this position requires computational skills, applicants are highly encouraged to apply even if they don't have all the preferred qualifications, since it is understood that many skills will be learned on the job, including genetics, and data analysis. The PI is committed to supporting the candidate's career development, including exploring new project areas and collaborations. The Professional and PI will jointly envision projects tailored to the Professional's skillset and long-term career goals. We have AMAZING benefits and offerexceptional amounts of holiday, vacation, and sick leave! The University of Colorado offers an excellent benefits package including: There are many additional perks & programs with the https://apptrkr.com/get_redirect.php?id=5785913&targetURL=00822509 - Requisition: #35396
The Dashnow Lab in the Department of Biomedical Informatics at the University of Colorado Anschutz Medical Campus is seeking a Data Scientist (Entry - Principal Level) with a background in computer science, data science, human genomics, bioinformatics, computational biology, statistics, or related fields. This role can also be described as a scientific software developer, staff scientist, data analyst or computational research assistant. Individuals from diverse or non-traditional backgrounds are strongly encouraged to apply, including those transitioning fields. The Dashnow Lab develops computational genomics methods to understand the genetic underpinnings of rare diseases and increase diagnoses. We have particular expertise in difficult-to-genotype repetitive regions such as tandem repeats. We develop and apply these methods at scale to current and emerging DNA sequencing technologies. Our research directly impacts individuals with rare diseases and their families, giving them answers and hope for treatment after a long diagnostic odyssey. The lab has strong national and international collaborations, including with large, rare disease and population consortiums and with industry. Current project funding supports new approaches for diagnosis and gene discovery for short tandem repeat diseases, computational methods development for both short and long-read sequencing technologies, and population genetics. The Data Scientist will develop genomics software and computational workflows, analyze genomics datasets, and provide genomic and data science leadership to the lab. They will both lead projects and support projects led by other lab members or collaborators.
- This role is eligible for a hybrid schedule of 2-4 days per week on campus and as needed for in-person meetings. The position is based at the University of Colorado, Anschutz campus in Aurora, Colorado.
The Department of Biomedical Informatics (DBMI), located in the magnificent new Health Science building with a fabulous view of the Rocky Mountains, provides a fantastic environment for you to thrive and pursue your career goals. DBMI has a dedicated team for Grants Development and Scientific Writing, and a Software Engineering Team that can provide invaluable feedback to improve the quality of your code and your programming skills. The Dashnow Lab welcomes diverse backgrounds. While this position requires computational skills, applicants are highly encouraged to apply even if they don't have all the preferred qualifications, since it is understood that many skills will be learned on the job, including genetics, and data analysis. The PI is committed to supporting the candidate's career development, including exploring new project areas and collaborations. The Professional and PI will jointly envision projects tailored to the Professional's skillset and long-term career goals. We have AMAZING benefits and offerexceptional amounts of holiday, vacation, and sick leave! The University of Colorado offers an excellent benefits package including: There are many additional perks & programs with the CU Advantage (https://apptrkr.com/get_redirect.php?id=5785913&targetURL=https://advantage.cu.edu/) .
The University of Colorado Anschutz Medical Campus is committed to recruiting and supporting a diverse student body, faculty, and administrative staff. The university strives to promote a culture of inclusiveness, respect, communication and understanding. We encourage applications from women, ethnically minoritized individuals, persons with disabilities, persons within the LGBTQ+ community and all veterans. In addition, the Anschutz Campus has also been recognized as an Age-Friendly University. The University of Colorado is committed to diversity and equality in education and employment.
For full consideration, please submit the following document(s): 1. A letter of interest describing how your background and interests make you a good fit for this specific lab. Please briefly address each bullet point listed under the Knowledge, Skills, and Abilities section. 2. Curriculum vitae / Resume 3. Three to five professional references, including name, address, phone number (mobile number if appropriate), and email address. 4. Links to 1-3 source code repositories with open-source contributions, if applicable. Questions should be directed to: DBMI.HR, dbmi.hr@cuanschutz.edu (https://apptrkr.com/get_redirect.php?id=5785913&targetURL=dbmi.hr@cuanschutz.edu)
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The starting salary range () for this full-time (1.0 FTE) position has been established as: $71,800 - $80,000 $78,100 - $89,000 $84,419 - $95,000 $97,081 - $107,000 The above salary range () represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. This position may be eligible for overtime compensation, depending on the level. Your total compensation goes beyond the number on your paycheck. The University of Colorado provides generous leave, health plans and retirement contributions that add to your bottom line. Total Compensation Calculator: https://apptrkr.com/get_redirect.php?id=5785913&targetURL= $97,081 - $107,000 The above salary range () represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. This position may be eligible for overtime compensation, depending on the level. Your total compensation goes beyond the number on your paycheck. The University of Colorado provides generous leave, health plans and retirement contributions that add to your bottom line. Total Compensation Calculator: http://www.cu.edu/node/153125 (https://apptrkr.com/get_redirect.php?id=5785913&targetURL=http://www.cu.edu/node/153125)
The University will provide reasonable accommodations to applicants with disabilities throughout the employment application process. To request an accommodation pursuant to the Americans with Disabilities Act, please contact the Human Resources ADA Coordinator at hr.adacoordinator@cuanschutz.edu (https://apptrkr.com/get_redirect.php?id=5785913&targetURL=hr.adacoordinator@cuanschutz.edu) .
The University of Colorado Anschutz Medical Campus is dedicated to ensuring a safe and secure environment for our faculty, staff, students, and visitors. To assist in achieving that goal, we conduct background investigations for all prospective employees.
CU Anschutz strongly encourages vaccination against the COVID-19 virus and other vaccine preventable diseases (https://apptrkr.com/get_redirect.php?id=5785913&targetURL=https://www.cdc.gov/vaccines/schedules/downloads/adult/adult-combined-schedule.pdf) . If you work, visit, or volunteer in healthcare facilities or clinics operated by our affiliated hospital or clinical partners or by CU Anschutz, you will be required to comply with the vaccination and medical surveillance policies of the facilities or clinics where you work, visit, or volunteer, respectively. In addition, if you work in certain research areas or perform certain safety sensitive job duties, you must enroll in the occupational health medical surveillance program (https://apptrkr.com/get_redirect.php?id=5785913&targetURL=https://research.cuanschutz.edu/ehs/home/divisions/occupational-health/oh-enrollment) .
Application Materials Required: Cover Letter, Resume/CV, List of References : Information Technology : Hybrid Department: U0001 -- Anschutz Med Campus or Denver - 21925 - SOM-BIOMED Informatics Gen Ops : Full-time : Nov 6, 2024 : Nov 14, 2024, 6:59:00 AM Posting Contact Name: DBMI.HR Posting Contact Email: dbmi.hr@cuanschutz.edu (https://apptrkr.com/get_redirect.php?id=5785913&targetURL=dbmi.hr@cuanschutz.edu) Position Number: 00822509jeid-f57083810b4f134e88b5f8f2a9ccf685
The University of Colorado does not discriminate on the basis of race, color, national origin, sex, age, pregnancy, disability, creed, religion, sexual orientation, gender identity, gender expression, veteran status, political affiliation, or political philosophy. All qualified individuals are encouraged to apply.
Source : University of Colorado
