Head of Machine Learning - RNA Sequencing Boston, MA (Hybrid)
Location: Boston, MA (Hybrid, 3 days on-site)
Employment Type: Full-Time
Industry: Biotech / Life Sciences / RNA Sequencing
Compensation: $200k - $230k + Bonus
Note: Applicants must be U.S. Citizens or Green Card holders. My client are unable to provide visa sponsorship at this time.
Are you ready to shape the future of RNA-based therapeutics?
Join a well-funded, early-stage biotech start-up in Boston that's pioneering next-generation RNA sequencing technologies to accelerate drug discovery and development.
We're looking for a visionary Head of Machine Learning to lead the ML strategy, build scalable data infrastructure and unlock critical biological insights through cutting-edge algorithms. You'll work cross-functionally with our bioinformatics, engineering and research teams to drive innovation.
What You'll Do:
- Build and lead a high-performing ML team from the ground up
- Design and implement machine learning models for RNA-seq analysis and predictive modeling
- Develop end-to-end pipelines for omics data, from preprocessing to deployment
- Collaborate with domain experts to translate complex biological data into actionable insights
- Evaluate emerging tools and techniques in ML, deep learning and genomics
️ Tech Stack Includes:
- Languages: Python, R
- Frameworks: PyTorch, TensorFlow, scikit-learn, XGBoost
- Bioinformatics Tools: STAR, Salmon, Kallisto, Seurat
- Cloud: AWS
- Data Infrastructure: Airflow, Docker, Kubernetes, SQL/NoSQL
You Bring:
- PhD or MS in Computer Science, Computational Biology, Bioinformatics or a related field
- 7+ years of experience applying ML to biological or healthcare data
- Deep understanding of RNA-seq technologies and large-scale genomics data
- Strong leadership skills and experience mentoring data science/ML teams
- Excellent communication and the ability to drive cross-functional collaboration
Note: Applicants must be U.S. Citizens or Green Card holders. We are unable to provide visa sponsorship at this time.
Send your resume in by applying below today.
Desired Skills and Experience
️ Tech Stack Includes:
Languages: Python, R
Frameworks: PyTorch, TensorFlow, scikit-learn, XGBoost
Bioinformatics Tools: STAR, Salmon, Kallisto, Seurat
Cloud: AWS
Data Infrastructure: Airflow, Docker, Kubernetes, SQL/NoSQL
You Bring:
- PhD or MS in Computer Science, Computational Biology, Bioinformatics or a related field
- 7+ years of experience applying ML to biological or healthcare data
- Deep understanding of RNA-seq technologies and large-scale genomics data
- Strong leadership skills and experience mentoring data science/ML teams
- Excellent communication and the ability to drive cross-functional collaboration