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Bioinformatics Software Engineer III, Pathology and Lab Medicine
Department: Informatics & Information Technology Location: New York, NY Salary: 124,000.00 - 204,700.00 USD Annual
Job details
About Us:
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.
Exciting Opportunity at MSK: Our Pathology and Laboratory Medicine Department is looking for a Bioinformatics Software Engineer to join a dynamic team supporting state‑of‑the‑art molecular diagnostics and cancer genomics programs. You will play a key role in developing software tools, web applications, and data workflows that empower our clinicians and researchers to interpret complex genomic information and advance precision oncology.
Role Overview
- Build web applications and APIs that enable genomic data visualization and clinical reporting
- Collaborate closely with bioinformaticians, laboratory scientists, researchers, and clinicians to translate workflow needs into robust software solutions
- Develop, optimize, and maintain computational workflows for NGS data processing
- Improve performance, scalability, and reliability of existing pipelines and tools
- Ensure data quality, reproducibility, and proper documentation across all projects
Key Qualifications
- BS in Bioinformatics, Computer Science, or related field + 5 years of experience OR MS in Bioinformatics, Computer Science, or related field + 2 years of experience
- Strong programming skills in Python
- Experience in web development (e.g., Flask, Django, React)
- Experience with relational databases (PostgreSQL, MySQL) and/or NoSQL (MongoDB)
- Hands-on experience with containerization (Docker, Kubernetes)
- Familiarity with version control (Git/GitHub) and CI/CD workflows
- Understanding of NGS data analysis workflows
- Strong debugging, analytical, and problem-solving skills
Preferred:
- Experience with cloud computing (AWS, GCP, or Azure)
- Knowledge of cancer genomics, variant calling, and annotation
Core Skills
- Ability to translate scientific and clinical needs into maintainable, well‑designed software
- Strong communication skills and comfort collaborating with multidisciplinary teams
- Ability to work in fast‑paced research and clinical environments
- Commitment to reproducible, traceable, and well‑documented work
Additional Information
- Schedule: hybrid, at least 2 days a week in office, must reside in the NYC metro area
- Location: Joy Building, 321 E 61st Street, NYC
- Reporting to: Manager, Bioinformatics Pathology and Laboratory Medicine
Helpful Links:
Compensation Philosophy
Benefits
Closing:
At MSK, we believe in fair, competitive pay that reflects your job, experience, and skills.
MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision.
Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.
Application Process
- 01
Step 1:
Complete an Online Application
- 02
Step 2:
Interview Process
- 03
Step 3:
Provide References
- 04
Step 4:
Extension of Job Offer
- 05
Step 5:
Onboarding
- 06
Step 6:
New Employee Orientation
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