Senior AI Scientist

What if… you could join an organization that creates, resources, and builds life sciences companies that invent breakthrough technologies to transform human health and sustainability?

Company Summary:
Quotient Therapeutics, Inc. is a privately held, early-stage company developing a novel genomics platform and therapeutics for diseases with a large unmet need.

Quotient Therapeutics, Inc. was founded by Flagship Pioneering, an innovative enterprise that conceives, creates, resources, and grows first-in-category life sciences companies. Flagship Pioneering has created over 100 groundbreaking companies over the past twenty years, all of which are pioneering novel and proprietary biological, industrial, and engineering approaches to solve major needs in human health and sustainability. These companies include Moderna (MRNA) Generate Biomedicines, Sana Biotechnology (SANA), Tessera Therapeutics, Evelo Biosciences (EVLO), Indigo Agriculture, Seres Therapeutics (MCRB), and Syros Pharmaceuticals (SYRS). To date, Flagship has deployed over $2.5 billion in capital toward the founding and growth of its pioneering companies alongside more than $19 billion of follow-on investments from other institutions. In 2021, Flagship Pioneering was ranked 12th globally on Fortune’s “Change the World” list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies.

Position Summary:

We are seeking a visionary Senior AI/ML Scientist to be part of ground-breaking research at the forefront of somatic genomics. You will be part of a dynamic team at Quotient’s multidisciplinary research environment comprising AI scientists, computational biologists, genome scientists, software engineers and disease area specialists. You will also work closely with specialists in translational science, drug discovery and pre-clinical modelling. In this role you will be responsible for designing and implementing novel machine learning and deep learning methods applied to somatic genomics. This includes identifying research problems that could be addressed through structured or unstructured, complex omics and imaging data and developing appropriate models and analytical solutions.  

Responsibilities:

• Develop and implement novel machine learning and deep learning methods to address key challenges in somatic genomics, ranging from imaging data analysis to variant interpretation.
• Extract research and business value from complex, unstructured somatic genomics data and metadata.
• Optimize large-scale data preparation, enhance analytics platforms, and industrialize validated analytical methods in collaboration with the data engineering team.
• Uncover novel biological insights into disease, spanning complex and rare diseases and develop methods to validate new drug targets.
• Evaluate the scientific and technical integrity of algorithms and tools within the analysis pipeline.
• Work closely with discovery and development teams to integrate genomic and histology imaging analysis.
• Communicate findings effectively to both technical and non-technical audiences.

Key Qualifications:

• PhD (or equivalent experience) in Machine Learning, Computational Biology, Bioinformatics, or a related quantitative field.
• Strong programming skills with a solid understanding of algorithms and data structures.
• Proficiency in Python with hands-on experience using open-source ML frameworks such as scikit-learn, PyTorch, TensorFlow, or Keras.
• Extensive experience with Machine Learning and Deep Learning models (e.g., tree-based methods, CNNs, Transformers) and developing robust, production-ready ML systems.
• Strong communication skills, with the ability to convey complex ideas to both experts and non-experts through discussion and clear documentation.
• Excellent problem-solving and prioritization skills, with a collaborative mindset suited to a fast-paced, evolving environment.
• Passion for applying machine learning to life sciences, with an understanding of genomics and its impact on drug discovery.

Additional Preferred Skills 

• Experience with AI Vision techniques (e.g. image segmentation, classification).
• Familiarity with Generative AI (LLMs).
• Experience with large-scale multi-omics data analysis.
• Hands-on experience with cloud computing (AWS).

Join Our Innovative Biotech Venture:

At Quotient Therapeutics, we're not just a team; we're pioneers on a mission to revolutionise the biotech landscape. Nestled in the vibrant outskirts of Cambridge, our company is all about innovative thinking and collaborative spirit.

What We Offer:

• A Crucible of Innovation: Dive into a world where your ideas matter. Our work environment is dynamic, encouraging creativity and out-of-the-box thinking. Here, every voice contributes to our groundbreaking solutions.
• Professional Growth in a Supportive Environment: While we're small, our aspirations are big. You'll have the unique opportunity to grow with us, learning new skills and tackling diverse challenges every day. Your growth is our growth.
• Competitive Compensation: We understand the value of our team. That's why we offer competitive salaries that match your expertise and contribution to our shared goals.
• Above Standard Facilities: Our labs and workspaces are more than just functional. Enjoy working in above-standard facilities that stand out in the start-up world, fostering both comfort and innovation.
• Located at the Heart of Biotech Innovation: Our location isn't just a place; it's a strategic advantage. Situated near Cambridge, you'll be at the crossroads of biotech innovation and a thriving, intellectually stimulating community.
• Making a Difference: Here, your work transcends the ordinary. We're about making a tangible, positive impact on the world through our biotech advancements.
• Equality, Diversity, and Inclusion Aware: We're committed to creating a workplace where everyone feels valued and respected. While our formal ED&I statement is still in the works, we're actively aware and integrating these principles into our daily operations.
• While we are still growing and enhancing our benefits package, we believe that the opportunity to be a part of a transformative team in a rapidly evolving industry is a rewarding experience in itself. If you're ready to make a significant impact and grow with us, we'd love to hear from you.

Flagship Pioneering and our ecosystem companies are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Recruitment & Staffing Agencies:  Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates.  The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering’s internal Talent Acquisition team.   Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto.