Sr. Computational Biologist I - Memorial Sloan Kettering Cancer Center

The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursue our mission at MSK and around the globe. 

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Exciting Opportunity at MSK:
The Shah Lab at Memorial Sloan Kettering (MSK) is looking for an enthusiastic and highly motivated Sr. Computational Biologist to join our team. We are an interdisciplinary team of bioinformatic scientists, molecular biologists and software engineers motivated by a desire to improve the lives of cancer patients and advance the fields of molecular and computational cancer biology. We are looking for someone who will help develop and apply analytical methods to single cell sequencing, whole genome sequencing, and clinical data produced by large scale research efforts in our lab and through our collaborations across MSK.
A successful candidate would exploit state of the art analysis methods, develop new methods and analyses, implement data quality control procedures and train junior bioinformatics in those procedures. Additionally, the candidate would work with external collaborators and researchers within our group, gathering requirements for new research questions and providing interpretation of results produced by production pipelines and bespoke analyses.

Key Responsibilities:
• Develop software to advance our pioneering work in single-cell genomics.
• Analyze sequencing datasets to address novel and clinically relevant questions.
• Critique results and troubleshoot issues with new analyses.
• Research new developments in computational biology and bioinformatics to apply to new datasets.
• Collaborate with researchers to tackle innovative questions in cancer genomics.
• Train junior analysts on running pipelines and performing routine analyses and quality control.

Key Qualifications:
• PhD in Bioinformatics, Computational Biology, or Computer Science with a focus on molecular biology, or equivalent non-academic experience.
• Experience with Linux and proficiency in Python or R.
• Familiarity with high-throughput sequence data is preferred.
• Experience with Git and collaborative work on codebases.
• To provide a link to GitHub or a code sample.

Core Skills:
• Intrinsically motivated to develop software that advances science and positively impacts society.
• Deep fascination with molecular and cell biology.
• Detail-oriented, with the ability to identify data anomalies and resolve them quickly.
• Strong collaborative skills, delivering research-centric solutions.
• Proven decision-making abilities, with a knack for timely resolutions.
• Resilient, with the ability to overcome setbacks and navigate obstacles.
• Quick learner, applying insights from past experiences to new situations.

Additional Information:
Location: 323 E. 61St (Macklowe)
Schedule: Hybrid, 4 days a week onsite

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Pay Range $109,300.00-$174,800.00

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