Principal Scientist, Machine Learning at Abiologics

Boston, Massachusetts, United States -

Full Time

Start Date

Immediate

Expiry Date

27 May, 26

Salary

291000.0

Posted On

26 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Predictive Modeling, Generative Modeling, Molecular Property Prediction, Peptide Science, Cheminformatics, AI, Python, PyTorch, Scikit-learn, RDKit, PyG, Deep Learning, GNN, RL, Transformers

Industry

Description

About Abiologics Abiologics, Inc. is a privately held, early-stage biotechnology company on a mission to make biology better through chemistry. We are pioneering the development of SynteinsTM, a transformational class of synthetic macromolecular medicines composed entirely of non-natural amino acids. SynteinsTM are designed to overcome the limitations of traditional biologics, offering programmable stability, delivery, and immune evasion. Abiologics is actively seeking exceptional molecular scientists who are passionate about driving chemical innovation in biotechnology. Abiologics was founded in Flagship Pioneering’s venture creation engine, where companies such as Moderna Therapeutics (NASDAQ: MRNA) and Generate Biomedicines were conceived and created. Since Flagship’s founding in 2000, the firm has originated and fostered the development of more than 100 scientific ventures resulting in more than 500 issued patents and more than 50 clinical trials for novel therapeutic agents. Position Summary We are seeking a Machine Learning scientist to join our computational team to bring SOTA ML models that drive the design and optimization of SynteinsTM. You will work at the interface of peptide science, cheminformatics, and AI, collaborating with experimentalists to optimize molecules for affinity, stability, solubility, and other critical developability properties. This is a highly interdisciplinary, hands-on role in a fast-moving team. Ideal candidates will have prior experience building or applying ML models to molecular property prediction and optimization in the context of peptides, proteins, or small molecules. Key Responsibilities Develop predictive and generative models to guide Syntein optimization for synthesis efficiency, target binding affinity and selectivity, solubility, thermal stability, and protease resistance. Integrate large experimental datasets (e.g., mass, purity, yield, binding, inhibition, activity, structure and stability) to train and refine models in a closed-loop system. Collaborate with chemists, biologists, and protein designers to design and prioritize Syntein libraries for synthesis and screening. Contribute to internal ML pipelines, data infrastructure, and model validation best practices, supporting the scale-up of our discovery platform. Qualifications Required PhD in computational biology, bioengineering, machine learning, or a related field. 5+ years of industry experience applying ML to protein, peptide, or small molecule modeling. Demonstrated experience building models to predict molecular or physicochemical properties (e.g., solubility, stability, binding). Proficiency in Python and ML frameworks (e.g., PyTorch, scikit-learn, RDKit, PyG). Experience in diverse deep learning architectures (e.g., GNN, RL, VAE, Transformers, GAN) Excellent communication skills with the ability to synthesize AI/ML tools and concepts to team members across many departments Preferred Familiarity with peptide/protein design concepts (e.g., structure-based optimization, binding site modeling, non-canonical amino acids). Experience in the application of ML tools in drug discovery Experience with experimental collaboration and designing hypotheses that inform synthesis or screening. Experience working in a startup, platform company, or cross-functional discovery team. Why Join Abiologics Work on a first-in-class therapeutic modality with unprecedented design flexibility. Be part of a fast-moving, data-rich platform with real-time feedback from automated synthesis and screening. Collaborate with world-class scientists across the Flagship Pioneering ecosystem. Help build the future of programmable biologics. ABOUT FLAGSHIP PIONEERING: Flagship Pioneering invents and builds platform companies, each with the potential for multiple products that transform human health, sustainability and beyond. Since its launch in 2000, Flagship has originated more than 100 companies. Many of these companies have addressed humanity’s most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture. Flagship has been recognized twice 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 and has been twice named to Fast Company’s annual list of the World’s Most Innovative Companies. Learn more about Flagship at www.flagshippioneering.com. At Flagship, we accept impossible missions to enable bigger leaps. Our core values guide us through uncertainty and toward lasting impact. We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. We recognize that great candidates often bring unique strengths without fulfilling every qualification. If you have some of the experience listed above but not all, please apply anyway. We are dedicated to building diverse and inclusive teams and look forward to learning more about your background and interest in Flagship. 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. #LI-MB1 The salary range for this role is $212,000 - $291,000. Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. Abiologics, Inc currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on Abiologics, Inc's good faith estimate as of the date of publication and may be modified in the future.

Responsibilities

Develop predictive and generative machine learning models to guide the optimization of Synteins for various properties like synthesis efficiency, binding affinity, solubility, and stability. Integrate large experimental datasets to train and refine these models within a closed-loop system while collaborating with experimental teams on library design and screening.