Protein AI Modeler – Antibody Sequence Optimization

Berkeley, CA

The Opportunity

The heart of Prellis Bio is at the forefront of biotechnology, leveraging cutting-edge artificial intelligence and machine learning technologies to revolutionize drug discovery and development. We are committed to advancing precision medicine and enhancing the therapeutic potential of biologics, including antibodies. Our team comprises experts in computational biology, bioinformatics, and machine learning, all working collaboratively to push the boundaries of science.

You will report to the CDO and work a hybrid schedule at our headquarters in Berkeley, CA.

Your primary responsibilities will include:

Model Development and Application

• Utilize state-of-the-art protein language models (LLMs) and machine learning techniques to analyze and optimize antibody sequences
• Develop and refine computational models to predict the impact of sequence modifications on antibody affinity, stability, and manufacturability
• Integrate structural biology data, such as protein-protein interactions and conformational changes, into AI models to enhance prediction accuracy
• Data Analysis and Interpretation
• Analyze large datasets of protein sequences and experimental results to identify patterns and insights that guide the optimization process
• Collaborate with experimental scientists to validate model predictions and refine AI models based on experimental feedback
• Cross-Functional Collaboration
• Work closely with bioinformaticians, structural biologists, and immunologists to align computational strategies with biological goals
• Collaborate with the production team to ensure that optimized sequences meet manufacturability standards, including expression levels and purification efficiency
• Innovation and Research
• Stay current with the latest advancements in protein language models, machine learning, and computational biology
• Explore and implement novel AI techniques to address challenges in protein engineering and antibody optimization

You will join a growing and well-positioned biotech startup that is very much in formation. Anticipate a lot can change in this early and exciting phase, providing many opportunities for significant impact. You will work with a very experienced leadership team, learn a broad range of skills, and help shape Prellis Bio's culture, strategic direction, and outcomes. Join us, and help make a difference to patients!

About You

• Ph.D. or equivalent experience in Computational Biology, Bioinformatics, Structural Biology, Machine Learning, or a related field
• Strong expertise in protein structure, function, and engineering, particularly in the context of antibodies
• Experience with machine learning, including deep learning frameworks (e.g., TensorFlow, PyTorch) and protein language model.
• Proficiency in programming languages such as Python, and experience with bioinformatics tools and databases
• Excellent problem-solving skills and the ability to work independently and collaboratively in a multidisciplinary environment
• Strong communication skills, with the ability to present complex scientific concepts to both technical and non-technical audiences
• Experience with high-throughput screening data and techniques for protein characterization.
• Familiarity with concepts in immunology and antibody therapeutics

About Prellis Biologics

At Prellis we integrate human biology with machine learning. We aim to revolutionized drug discovery by harnessing the power of human immune system with tightly, integrated machine learning to develop next-generation antibody therapeutics with unparalleled speed, precision and safety. We are committed to empowering our pharmaceutical partners with access to the most promising fully human body candidate rapidly identified from the human immune repertoire, enabling them to bring life-changing treatments to patients faster than ever before.Prellis Biologics is a pre-IPO biotech located in Berkeley CA with a team-oriented, inclusive, and family-friendly culture. Our growing pipeline target high unmet patient needs across therapeutics including metabolic, inflammation, and oncology disease. Prellis has raised funding from top investors, including Celesta, Khosla Ventures, SOSV, & Avidity Partners.

What you can expect of us

As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way.

The expected annual salary range for this role in the U.S. is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.

In addition to the base salary, Prellis offers compelling benefits based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include:

• A competitive employee benefits package, including group medical, dental and vision coverage, life and disability insurance, flexible spending accounts and a 401(k) plan
• Stock-based long term incentives
• Bonus plan
• Holiday package including a 1+ week winter shutdown
• Flexible work models, including remote and hybrid working arrangements, where possible

Application deadline

Prellis does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.

Prellis Bio is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

We believe diversity, equity, and inclusion need to be at the foundation of our culture. We work hard to bring together diverse teams–grounded in a wide range of expertise and life experiences–and work even harder to ensure those teams thrive in inclusive, growth-oriented environments supported by equitable company and team practices. All candidates can expect equitable treatment, respect, and fairness throughout the interview process.