Insilico Search Partners

About the Company

Bridging biotech and computation—one strategic hire at a time. Insilico Search Partners is a boutique retained search firm specializing in technical talent acquisitions at the intersection of biotechnology, artificial intelligence, and data science. We help venture-backed and emerging biotech companies attract the scientists, engineers, and leaders driving innovation in drug discovery and development. With over a decade of experience in life sciences recruitment, we understand the unique challenges of building teams in complex, multidisciplinary environments. Whether you’re hiring your first machine learning lead, expanding a bioinformatics group, or searching for a head of data science, we bring clarity, precision, and focus to the search process.

Listed Jobs

Company Name

Insilico Search Partners

Job Title

Sr. AI/ML Engineer

Job Description

**Job Title** Sr. AI/ML Engineer **Role Summary** Design, develop, and deploy advanced AI/ML solutions for life‑sciences applications, leading end‑to‑end product lifecycles and collaborating with cross‑functional teams to translate data into actionable insights. **Expectations** - Deliver production‑ready AI products that scale across multiple organizations. - Translate executive and scientific requirements into technical roadmaps and validate feasibility. - Maintain ownership of AI/ML solutions from concept through deployment and continuous improvement. **Key Responsibilities** - Lead design, model training, validation, and deployment of AI products (RL, NLP, protein design). - Advise leadership on technical, commercial, and regulatory viability of AI initiatives. - Partner with commercial, scientific, and regulatory teams to identify opportunities and co‑create solutions. - Build productized applications that operate reliably at scale within regulated environments. - Present findings and product demos to senior stakeholders and customers. **Required Skills** - 10+ years of AI/ML development experience (or 5+ years in regulated life sciences/healthcare). - Proven portfolio of real‑world AI products deployed. - Deep expertise in at least one of: Reinforcement Learning, NLP/LLMs, or Protein Design/Diffusion Models. - Advanced knowledge of deep learning frameworks (PyTorch/TensorFlow) and production tooling. - Strong communication and stakeholder‑management skills; ability to translate technical concepts to business audiences. **Required Education & Certifications** - Ph.D. in Biological, Data, or Computer Science (preferred), or equivalent advanced degree. - Certifications in AI/ML or relevant domain (e.g., TensorFlow Developer, SAS Viya, or equivalent) are a plus.

Boston, United states

On site

Senior

31-10-2025

Company Name

Insilico Search Partners

Job Title

Scientific Machine Learning Engineer

Job Description

Job title: Scientific Machine Learning Engineer Role Summary: Lead the end‑to‑end creation of AI/ML solutions that accelerate scientific research and improve healthcare outcomes, focusing on reinforcement learning, natural language processing, and protein design. Expectations: Design, train, validate, and deploy production‑ready AI products; advise leadership on feasibility and ROI; collaborate with scientists and commercial teams; scale applications across multiple life‑science organizations. Key Responsibilities: • Own end‑to‑end product lifecycle of AI/ML tools. • Conduct feasibility studies and risk assessments for AI initiatives. • Partner with biomedical scientists to identify data‑driven opportunities. • Build and maintain robust, scalable ML pipelines and deployed services. • Provide technical guidance and mentorship to internal teams. Required Skills: • Deep expertise in at least one of: Reinforcement Learning, NLP/LLMs, or Protein Design/Diffusion Models. • Strong programming skills (Python, TensorFlow/PyTorch, data engineering). • Experience with large‑scale, continuous datasets and cloud/edge deployment. • Proven track record of end‑to‑end AI product delivery in regulated or life‑science contexts. • Excellent written and oral communication; ability to present to senior stakeholders. Required Education & Certifications: • Ph.D. in Biology, Data Science, Computer Science, or related field (preferred); Master’s with ≥10 years AI/ML experience or 5 + years in life sciences/healthcare AI acceptable. ---

Boston, United states

On site

Senior

07-12-2025