Computational Research Scientist III, Toxicology (Hybrid) - The Henry M. Jackson Foundation for the Advancement of Military Medicine
Frederick, MD 21702-0000
About the Job
Join the HJF Team!
HJF is seeking a Computational Research Scientist III to perform interdisciplinary research, combining physical, computational, and life-science research to improve the efficiency and efficacy in the development of militarily relevant medical products for Force Health Protection. Mainly works performing independent research in a focused problem area.
This position will be in support of the U.S. Army Medical Research and Development Command's Biotechnology High Performance Computing Software Applications Institute (BHSAI).
This position is focused on Toxicology. We develop and apply AI/computational/modeling solutions for predicting absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties in drug development. We develop in vitro and in vivo toxicity mechanisms of drugs and industrial chemicals using systems toxicology and develop whole-organism toxicity response models using transcriptomics, proteomics, and data.
The Henry M. Jackson Foundation for the Advancement of Military Medicine (HJF) is a nonprofit organization dedicated to advancing military medicine. We serve military, medical, academic and government clients by administering, managing and supporting preeminent scientific programs that benefit members of the armed forces and civilians alike. Since its founding in 1983, HJF has served as a vital link between the military medical community and its federal and private partners. HJF's support and administrative capabilities allow military medical researchers and clinicians to maintain their scientific focus and accomplish their research goals.
Please submit your full CV to include your publication list.
Responsibilities:- Leads the development and execution of cross-disciplinary research, formulates experimental hypotheses, develops innovative approaches, and designs and implements experimental protocols related to computational models.
- Uses the scientific literature to examine cross-disciplinary research areas for developing new projects and programs.
- Develops necessary new technologies and protocols, assesses the strengths and weaknesses of the projects and their progress. Collects, processes, and interprets experimental data and model outputs.
- Mentors or supervises more junior staff. Initiates, develops, and maintains collaborations with external research groups for conducting research projects and development of new approaches to existing research problems.
- Prepares new grant and funding applications, programmatic reviews, research proposals, progress reports, and manuscripts for submission to scientific journals.
- Actively participates in appropriate scientific meeting and conferences.
- May perform other duties and responsibilities as assigned or directed by the supervisor. This may include attendance of and participation in required training for role.
Supervisory Responsibilities
- Assigned Lead: May recommend the following: employee hiring, disciplinary action, and starting salaries; provide input on employee performance evaluations.
Education and Experience
- Doctoral Degree in Bioinformatics, Computational Biology, Computational Chemistry, Systems Biology, Toxicology or a closely related field.
- Minimum of 6-8 years of experience (post doctorate degree) required.
Required Knowledge, Skills and Abilities
- Ability to lead projects and guide all aspects of cross-disciplinary computational research projects and proposal development.
- Posses a strong background in chemistry, bioinformatics, computational toxicology, or drug toxicity.
- Proven expertise in chemical informatics projects.
- Proven expertise in computational research projects.
- Excellent communication skills.
- Ability to troubleshoot technical procedures.
- Ability to work independently and supervise others.
- Ability to work in a deadline-driven environment.
- Must have a strong publication track record with at least 5-6 first author publications.
- Must live in the US the past three out of five years.
- Ability to obtain and maintain a T1/NACI Investigation.
Work Environment
- This position will take place primarily in an office setting.
Compensation
- The annual salary range for this position is $105,000-$140,000. Actual salary will be determined based on experience, education, etc.
Benefits
- HJF offers a comprehensive suite of benefits focused on your health and well-being, from medical, dental, and vision coverage to health savings and retirement plans, and more.
Some positions or sites may require that the incumbent be fully vaccinated against COVID-19. Proof of vaccination may be required.
Employment with HJF is contingent upon successful completion of a background check, which may include, but is not limited to, contacting your professional references, verification of previous employment, education and credentials, a criminal background check, and a department of motor vehicle (DMV) check if applicable. Any qualifications to be considered as equivalents, in lieu of stated minimums, require the prior approval of the Chief Human Resources Officer.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)
Any qualifications to be considered as equivalents, in lieu of stated minimums, require the prior approval of the Chief Human Resources Officer.