Senior Manager, AI, and Data Engineering

Scorpion Therapeutics; Cambridge (MA); On-site; USD 139,000 - 232,000; Full time

Benefits offered by this job

401(k) with Pfizer match

Retirement savings

Paid time off

Caregiver/Parental leave

Medical benefits

Job summary

Scorpion Therapeutics is seeking an experienced analytics/ML engineer to build and prototype AI-enabled solutions for Oncology R&D. You will develop data pipelines, feature engineering workflows, and analytical models applied to structured and unstructured healthcare data.

The role emphasizes rapid prototyping, collaboration with scientific and product teams, and contributing to engineering standards and documentation. Strong background in healthcare ML and modern tooling is required.

Qualifications

• Bachelor's degree and 6+ years' relevant experience OR Master's degree and 5+ years' experience OR PhD and 1+ years' experience. Advanced degree in CS/ML/AI/computational biology/bioinformatics/statistics/engineering or related quantitative/scientific field strongly preferred.
• Hands-on experience building data, analytics, or ML solutions in healthcare, life sciences, or health tech.
• Strong programming skills and experience with modern data and ML tooling.
• Ability to rapidly prototype and adapt solutions based on feedback.
• Strong collaboration and communication skills.

Responsibilities

• Build and prototype AI-enabled solutions supporting Oncology R&D workflows and decision making.
• Develop and maintain data pipelines, feature engineering workflows, and analytical models.
• Apply machine learning techniques to structured and unstructured healthcare data.
• Collaborate with scientific and product partners to understand needs and deliver usable tools.
• Focus on speed, iteration, and usability; support production scaling with enterprise Digital teams as appropriate.
• Contribute to shared engineering standards, documentation, and best practices.

Skills

Strong programming skills

Collaborative communication

Rapid prototyping

Data & ML tooling

Healthcare data experience

Education

Bachelor's degree

Master's degree

PhD

Tools

ML tooling

Job description

Key Responsibilities

• Build and prototype AI-enabled solutions supporting Oncology R&D workflows and decision making.
• Develop and maintain data pipelines, feature engineering workflows, and analytical models.
• Apply machine learning techniques to structured and unstructured healthcare data.
• Collaborate with scientific and product partners to understand needs and deliver usable tools.
• Focus on speed, iteration, and usability; support production scaling with enterprise Digital teams as appropriate.
• Contribute to shared engineering standards, documentation, and best practices.

Basic Qualifications

• Bachelor's degree and 6+ years' relevant experience OR Master's degree and 5+ years' experience OR PhD and 1+ years' experience. Advanced degree in CS/ML/AI/computational biology/bioinformatics/statistics/engineering or related quantitative/scientific field strongly preferred.
• Hands-on experience building data, analytics, or ML solutions in healthcare, life sciences, or health tech.
• Strong programming skills and experience with modern data and ML tooling.
• Ability to rapidly prototype and adapt solutions based on feedback.
• Strong collaboration and communication skills.

Preferred Qualifications

• Experience working on research or clinical workflows.
• Background in healthcare technology companies or AI startups.
• Exposure to cloud-based data and ML environments.

Compensation & Benefits

• Annual base salary range: $139,100.00 to $231,900.00.
• Bonus target: 17.5% of base salary (Global Performance Plan) and eligibility for share-based long-term incentive.
• Benefits include 401(k) with Pfizer matching contributions, retirement savings contribution, paid vacation/holidays/personal days, caregiver/parental and medical leave, and medical/prescription/dental/vision coverage.