Principal Automation Engineer, Workcell Builds

Job Summary

We are seeking a Director/VP of Machine Learning/Computational Biology to join our dynamic team at Voyant Bio. The ideal candidate will bring a passion for advancing cutting-edge science, strong leadership experience in startups, and expertise in computational biology (genomics & microscopy) and machine learning.

About the Role

As the Director/VP of Machine Learning/Computational Biology, you will lead the development and implementation of advanced computational models to analyze complex biological data. You will work closely with cross-functional teams including biologists, clinicians, and software engineers to drive innovation in cancer treatment.

Responsibilities

• Develop and optimize machine learning algorithms to analyze genomic and imaging data for insights into immune cell interactions and cancer progression.
• Collaborate with scientists to interpret results and translate findings into actionable insights for clinical trials and product development.
• Lead a team of computational biologists and data scientists to ensure high-quality data analysis and model validation.
• Present research findings to stakeholders, including senior management, investors, and regulatory bodies.
• Stay abreast of the latest advancements in machine learning, genomics, and computational biology, and incorporate these into our research strategies.

Requirements

• Bachelor’s degree in Computer Science, Computational Biology, Biostatistics, or a related field.
• PhD in a relevant field or equivalent experience.
• Proven track record of developing and applying machine learning models to large-scale genomic and imaging datasets.
• Experience leading interdisciplinary teams and managing multiple projects simultaneously.
• Strong publication record in peer-reviewed journals, particularly in computational biology and machine learning.
• Excellent communication skills and ability to present technical concepts to non-technical audiences.

Qualifications

• Expertise in genomics, imaging, and machine learning techniques.
• Experience with bioinformatics tools and platforms.
• Knowledge of regulatory guidelines and ethical considerations in medical research.

Skills

• Strong analytical and problem-solving skills.
• Ability to manage and prioritize multiple tasks effectively.
• Excellent interpersonal and collaboration skills.
• Proficiency in programming languages such as Python, R, and/or C++.
• Experience with cloud-based computing environments like AWS or Google Cloud.

Benefits

• Competitive salary commensurate with experience.
• Flexible working hours and remote work options.
• Inclusive benefits package including health insurance, retirement plans, and paid time off.
• Ongoing professional development opportunities through Merck Digital Sciences Studio.

Pay

Commensurate with experience.

Schedule

Full-time.