Data Scientist - Oncology & Computational Biology
AequorAbout the role
Job Description:
Job Title: Scientist (Data Scientist - Oncology & Computational Biology)
Location: Ridgefield, CT (Remote)
Duration: 12 Months
Work Schedule: 40 hours per week (8 hours per day)
Position Overview
Boehringer Ingelheim is seeking a highly motivated Scientist III to join the Computational Innovation Department and support oncology drug discovery research through advanced computational and data-driven approaches. This role will focus on leveraging multi-modal omics data, bioinformatics methodologies, and statistical analysis to generate biological insights that accelerate the discovery and development of novel cancer therapeutics.
The successful candidate will work closely with cross-functional scientific teams, including biologists and drug discovery researchers, to address complex scientific challenges and contribute to oncology research programs.
Key Responsibilities
Oncology Research & Drug Discovery
Support oncology drug discovery and development initiatives through computational and bioinformatics approaches.
Collaborate with biologists, researchers, and cross-functional teams to solve complex scientific problems.
Generate actionable biological insights that advance therapeutic discovery programs.
Data Science & Bioinformatics
Analyze and integrate multi-modal omics datasets using advanced statistical and computational techniques.
Identify, acquire, process, and analyze both publicly available and internally generated biological datasets.
Develop and implement innovative analytical methods when conventional approaches are insufficient.
Apply emerging data science technologies and methodologies to support therapeutic research and development.
Scientific Analysis & Communication
Stay current with scientific literature and emerging trends in computational biology, bioinformatics, and oncology research.
Interpret, summarize, and present analytical findings to scientific stakeholders and collaborators.
Communicate complex data-driven insights clearly and effectively to both technical and non-technical audiences.
Data Integrity & Reproducibility
Ensure data analyses adhere to FAIR principles (Findable, Accessible, Interoperable, and Reusable).
Maintain comprehensive documentation, reproducible workflows, and high standards of scientific integrity and ethics.
Required Qualifications
Education
Ph.D. from an accredited institution in a relevant scientific discipline, including but not limited to:
Computational Biology
Bioinformatics
Genomics
Biostatistics
Computer Science
Computational Science
Biological Sciences
Related quantitative or life science fields
Technical Skills
Strong programming experience in:
Python
R
Experience performing bioinformatics analyses within Unix/Linux environments.
Hands-on experience with:
Bulk Next-Generation Sequencing (NGS) data
Single-cell sequencing data analysis
Proficiency working with High-Performance Computing (HPC) environments and clusters.
Experience conducting biological pathway analysis and interpretation.
Preferred Qualifications
Experience in one or more of the following areas is highly desirable:
Oncology or immunology research
Spatial transcriptomics
DNA methylation analysis
Liquid biopsy data analysis
Multi-omics data integration
Public oncology and genomics databases, including:
TCGA (The Cancer Genome Atlas)
GTEx
Human Cell Atlas
CZ CELLxGene Discover
Human Tumor Atlas Network (HTAN)
Similar large-scale biomedical datasets
Responsibilities
- Support oncology drug discovery and development initiatives through computational and bioinformatics approaches.
- Collaborate with biologists, researchers, and cross-functional teams to solve complex scientific problems.
- Generate actionable biological insights that advance therapeutic discovery programs.
- Analyze and integrate multi-modal omics datasets using advanced statistical and computational techniques.
- Identify, acquire, process, and analyze both publicly available and internally generated biological datasets.
- Develop and implement innovative analytical methods when conventional approaches are insufficient.
- Stay current with scientific literature and emerging trends in computational biology, bioinformatics, and oncology research.
- Interpret, summarize, and present analytical findings to scientific stakeholders and collaborators.
Qualifications
- Ph.D. in a relevant scientific discipline such as Computational Biology, Bioinformatics, or related fields.
- Strong programming experience in Python and R.
- Experience performing bioinformatics analyses within Unix/Linux environments.
- Hands-on experience with Bulk Next-Generation Sequencing (NGS) data and single-cell sequencing data analysis.
- Proficiency working with High-Performance Computing (HPC) environments.
Skills mentioned
About Aequor
Since 1998, Aequor has provided exceptional workforce staffing services in multiple industries. Specializing in healthcare, we place nurses, therapists, allied professionals, physicians and medical technicians, as well as staff in the life sciences, technologies and schools. We believe in making a positive impact in the lives of those we serve by inspiring people and empowering growth both personally and professionally, which makes us better as individuals and as a company. We teach our team members to nurture positive and supportive relationships with our clients and candidates by nurturing positive and supportive relationships with each other—from the desk level to the C-suite. Year after year, Aequor is awarded for being one of the best places to work—for the candidates we place in assignments all over the country, and for our internal team, the Aequor Family. The vibrant culture of community and support that welcomes each new team member is the same culture that makes them want to stay. We understand that we’re better in collaboration rather than competition, so we build each other up, respect each other, and show up for one another. As a thriving healthcare staffing firm committed to investing in the resources and tools that ensure a remarkable experience for our clients, candidates and team members, Aequor’s personal approach connects the workforce needs of the industry with the right talent for the job.