Head of Machine Learning (Start-up)

🧬 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