Principal Scientist, Machine Learning

<p><strong><span data-contrast="auto">About Abiologics</span></strong> <br><span data-contrast="auto">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 Synteins</span><span data-contrast="auto"><span data-fontsize="12">TM</span></span><span data-contrast="auto">, a transformational class of synthetic macromolecular medicines composed entirely of non-natural amino acids. Synteins</span><span data-contrast="auto"><span data-fontsize="12">TM</span></span><span data-contrast="auto"> 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.</span><span data-ccp-props="{"134233117":true,"134233118":true}"> </span></p> <p><span data-contrast="auto">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.</span><span data-ccp-props="{"134233117":true,"134233118":true}"> </span></p> <p><strong><span data-contrast="auto">Position Summary</span></strong> <br><span data-contrast="auto">We are seeking a Machine Learning scientist to join our computational team to bring SOTA ML models that drive the design and optimization of Synteins</span><span data-contrast="auto"><span data-fontsize="12">TM</span></span><span data-contrast="auto">. 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.</span><span data-ccp-props="{"134233117":true,"134233118":true}"> </span></p> <p><span data-contrast="auto">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.</span><span data-ccp-props="{"134233117":true,"134233118":true}"> </span></p> <p><strong><span data-contrast="auto">Key Responsibilities</span></strong><span data-ccp-props="{"134233117":true,"134233118":true}"> </span></p> <ul> <li><span data-contrast="auto">Develop predictive and generative models to guide Syntein optimization for synthesis efficiency, target binding affinity and selectivity, solubility, thermal stability, and protease resistance.</span><span data-ccp-props="{"134233117":true,"134233118":true}"> </span></li> <li><span data-contrast="auto">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.</span><span data-ccp-props="{"134233117":true,"134233118":true}"> </span></li> <li><span data-contrast="auto">Collaborate with chemists, biologists, and protein designers to design and prioritize Syntein libraries for synthesis and screening.</span><span data-ccp-props="{}"> </span></li> <li><span data-contrast="auto">Contribute to internal ML pipelines, data infrastructure, and model validation best practices, supporting the scale-up of our discovery platform.</span><span data-ccp-props="{}"> </span></li> </ul> <p><strong><span data-contrast="auto">Qualifications</span></strong><span data-ccp-props="{"134233117":true,"134233118":true}"> </span></p> <p><em><span data-contrast="auto">Required</span></em><span data-ccp-props="{"134233117":true,"134233118":true}"> </span></p> <ul> <li><span data-contrast="auto">PhD in computational biology, bioengineering, machine learning, or a related field.</span><span data-ccp-props="{"134233117":true,"134233118":true}"> </span></li> <li><span data-contrast="auto">5+ years of industry experience applying ML to protein, peptide, or small molecule modeling.</span><span data-ccp-props="{"134233117":true,"134233118":true}"> </span></li> <li><span data-contrast="auto">Demonstrated experience building models to predict molecular or physicochemical properties (e.g., solubility, stability, binding).</span><span data-ccp-props="{"134233117":true,"134233118":true}"> </span></li> <li><span data-contrast="auto">Proficiency in Python and ML frameworks (e.g., PyTorch, scikit-learn, RDKit, PyG).</span><span data-ccp-props="{"134233117":true,"134233118":true}"> </span></li> <li><span data-contrast="auto">Experience in diverse deep learning architectures (e.g., GNN, RL, VAE, Transformers, GAN)</span><span data-ccp-props="{"134233117":true,"134233118":true}"> </span></li> <li><span data-contrast="auto">Excellent communication skills with the ability to synthesize AI/ML tools and concepts to team members across many departments</span><span data-ccp-props="{"134233117":true,"134233118":true}"> </span></li> </ul> <p><em><span data-contrast="auto">Preferred</span></em><span data-ccp-props="{"134233117":true,"134233118":true}"> </span></p> <ul> <li><span data-contrast="auto">Familiarity with peptide/protein design concepts (e.g., structure-based optimization, binding site modeling, non-canonical amino acids).</span><span data-ccp-props="{"134233117":true,"134233118":true}"> </span></li> <li><span data-contrast="auto">Experience in the application of ML tools in drug discovery</span><span data-ccp-props="{"134233117":true,"134233118":true}"> </span></li> <li><span data-contrast="auto">Experience with experimental collaboration and designing hypotheses that inform synthesis or screening.</span><span data-ccp-props="{"134233117":true,"134233118":true}"> </span></li> <li><span data-contrast="auto">Experience working in a startup, platform company, or cross-functional discovery team.</span><span data-ccp-props="{"134233117":true,"134233118":true}"> </span></li> </ul> <p><strong><span data-contrast="auto">Why Join Abiologics</span></strong><span data-ccp-props="{"134233117":true,"134233118":true}"> </span></p> <ul> <li><span data-contrast="auto">Work on a first-in-class therapeutic modality with unprecedented design flexibility.</span><span data-ccp-props="{"134233117":true,"134233118":true}"> </span></li> <li><span data-contrast="auto">Be part of a fast-moving, data-rich platform with real-time feedback from automated synthesis and screening.</span><span data-ccp-props="{"134233117":true,"134233118":true}"> </span></li> <li><span data-contrast="auto">Collaborate with world-class scientists across the Flagship Pioneering ecosystem.</span><span data-ccp-props="{"134233117":true,"134233118":true}"> </span></li> <li><span data-contrast="auto">Help build the future of programmable biologics.</span><span data-ccp-props="{"134233117":true,"134233118":true}"> </span></li> </ul> <p><strong>ABOUT FLAGSHIP PIONEERING:</strong></p> <div class="page"> <div class="layoutArea"> <div class="column"> <div class="page"> <div class="layoutArea"> <div class="column"> <div class="page"> <div class="layoutArea"> <div class="column"> <p>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.  </p> <p>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 <a href="https://www.flagshippioneering.com">www.flagshippioneering.com</a>.</p> <p>At Flagship, we accept impossible missions to enable bigger leaps. Our <a href="https://www.flagshippioneering.com/values">core values</a> guide us through uncertainty and toward lasting impact.</p> <p><strong>We are an equal opportunity employer</strong>. 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.</p> <p>We recognize that great candidates often bring unique strengths <strong>without fulfilling every qualification</strong>. 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<strong> and interest in Flagship.</strong></p> <p><strong><em>Recruitment & Staffing Agencies</em></strong><em>: 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.</em></p> <p> #LI-MB1</p> </div> </div> </div> </div> </div> </div> </div> </div> </div> <p id="pay-transparency" style="margin: 0 !important; padding: 0 !important; float: none !important; clear: both !important; display: block;">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.</p>