About Serinus Biosciences

Serinus Biosciences is redefining precision in cancer therapeutics. We design models to determine how molecules function inside each tumor cell. Through our knowledge-primed AI engine, we integrate computational biology and functional genomics to uncover the molecular landscape of treatment response or resistance. Our technology enables the development of drugs that work across a wide range of patient populations, override resistance mechanisms, and enable combinations by design.

Founded by MIT PhDs and supported by Y-Combinator, Serinus is a seed-stage TechBio company backed by top investors. Serinus’s scientific advisory includes top academics from the Broad Institute, Dana-Farber, and UCSD. Join our core founding team to help us shape the company’s vision, strategy, and technology.

About the role

Skills: Quantitative biology, Torch/PyTorch, ML, Python, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Amazon Web Services (AWS)

About Serinus

Serinus Biosciences is tackling one of the toughest problems in cancer treatment: creating combination therapies to override treatment resistance. We leverage cutting edge technology to design a fully explainable AI platform primed with decades of system biology knowledge. Uniquely powered for biological inference, our AI engine uncovers how cancer cells evolve treatment resistance and identifies molecules to overcome resistance escape routes. We design combinations that are safer, more effective, and can get to patients quickly. Founded by MIT PhDs and supported by Y Combinator, Serinus Bio is a seed-stage biotech company backed by top investors. Serinus Bio’s scientific advisory board includes top academics from the Broad Institute, Dana-Farber, and UCSD. Join our team and help shape the next generation of cancer therapies!

About the role

As our ML Engineer, you will spearhead the development of the company’ core computational technology: AI & ML models designed specifically to leverage the unique structures of biological data. You will be working in our multi-disciplinary team of scientists and engineers to model complex biological processes, design state-of-the-art AI and solve some of the toughest problems in biology and medicine. Our goal is to beat cancer, and we need your help to make it happen! Key responsibilities will include: ● Designing, implementing, and testing ML and mathematical models of drug response.

● Working closely with biology and bioinformatics experts to pilot active learning data generation strategies and overcome pressing challenges in drug development.

● Working with the founders to build and maintain the company’s codebase.

● Contributing to the success of external partnerships by meeting with partners, understanding their needs, and implementing tools accordingly.

● Tracking recent technological advances in the ML and computational biology spaces.

● Showcasing work at top conferences & journals – scientific advancement is one of our central values at Serinus!

Desired qualifications

● A PhD or masters + 4 years of industry experience in related fields (computer science, electrical engineering, statistics, mathematics, etc.).

● Fluency with Python and ML related packages (Pytorch, Pandas, Scipy, Captum, etc.).

● Experience working with cloud computing interfaces.

● Excitement about complex problems, mathematics and biology.

● Some experience with biological data (next generation sequencing, medical records, etc.) would be great but is not required.

● True passion to help patients in need!

What we offer

● Competitive salary and equity package.

● A fast growth trajectory with us at Serinus!

● Health, dental and vision insurance and commuting benefits.

● An office in the center of New York City’s burgeoning biotech hub.

● An energetic and excited team.

● A world-class scientific environment.

Why you should join us

You’ll be joining a fast-paced, mission driven, highly collaborative and tight-knit team working everyday to help patients. Also, more than 90% of cancer deaths are due to treatment resistance. One of the most promising approaches to overcoming treatment resistance is the design of anti-cancer combination therapies. Serinus Bio is pioneering the use of advanced computational methods to overcome the key challenges of combination therapy development: finding effective combinations, finding safe combinations, and finding combinations that have a viable path to patients. With previous publications in Science, Cell, Nature Biotechnology, Cancer Cell and other top journals, Serinus Bio is spearheading the field of explainable AI for novel drug development. We partner with leading Pharma and biotech companies to accelerate treatments to the people who need them!

Discrimination Statement

Serinus Biosciences provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristics protected by federal, state, or local laws.

Technology

Serinus Bio is targeting the most pressing problem of cancer therapeutics – clinical translation. 97% of cancer therapeutics fail in humans despite promising pre-clinical outcomes, many of which are due to poor understanding of their primary mechanism of action. Serinus Bio develops models to unravel the cellular mechanisms of drug response from cost-effective high-throughput screenings. By incorporating cutting-edge cancer biology into our knowledge-primed architecture we are creating a new generation of AI models to transform drug discovery.

With previous publications in Science, Nature Biotechnology, Cancer Cell, ICLR, and other top journals and venues, Serinus Bio is spearheading the field of explainable AI for novel drug development. We partner with leading Pharma and biotech companies to accelerate treatments to the people who need them!

Serinus Biosciences remote jobs

Machine Learning Engineer