Associate Director – Data Product
| Company | Deep Genomics |
|---|---|
| Location | Cambridge, MA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | PhD |
| Experience Level | Senior |
Requirements
- PhD in Computational Biology, Bioinformatics, Genomics, or a related field
- 5+ years of relevant postdoctoral and/or industry experience in computational biology, bioinformatics, or multi-omics analysis
- Demonstrated expertise in NGS data analysis, including amplicon sequencing, bulk and single-cell RNA-seq, and other profiling methods
- Strong programming skills (e.g., R, Python), with experience in cloud computing and data management
- Experience managing, mentoring, and developing direct reports
- Proven ability to lead and manage all computational aspects of cross-functional projects/programs and communicating complex computational concepts to both technical and non-technical audiences
- Strong analytical and problem-solving skills, with a focus on delivering practical, impactful solutions
- Ability to align scientific/technological innovation with business objectives, driving technological differentiation and competitive advantage.
Responsibilities
- Directly supervise, mentor, and develop a team of four computational biologists
- Define and execute the computational biology strategy in alignment with company objectives
- Oversee computational pipelines for discovery-stage and preclinical programs
- Partner in the regular evaluation of the platform to ensure it can define and handle valuable large datasets and complex analyses according to the product roadmap
- Identify and integrate external datasets in collaboration with the engineering and machine learning teams
- Contribute to the design of experiments for model evaluation in partnership with the Target Identification and experimental teams.
Preferred Qualifications
- Familiarity with AI/ML applications in drug discovery is a strong plus
- Experience in a clinical-stage biotechnology company is highly desirable
- Track record of scientific achievement through publications, patents, or successful project leadership in computational biology or bioinformatics.