OVERVIEW
We are currently searching for a skilled professional to join a well-known client’s team as a Bioinformatics Engineer in San Mateo, CA with specialized expertise in in silico antibody design to lead the development of an AI-first platform, transforming the future of antibody-based drug discovery. This pivotal role requires an innovative and proactive individual with deep experience in bioinformatics, machine learning, and large-scale biological data, particularly in antibody design and optimization. The ideal candidate will be responsible for building scalable AI-driven solutions that accelerate the identification, validation, and development of therapeutic antibodies.
RESPONSIBILITIES
- Develop AI-Driven Antibody Design Ecosystems: Design and build advanced platforms to drive in silico antibody design and optimization, supporting rapid and efficient therapeutic discovery.
- Implement Scalable Antibody Prediction Models: Architect machine learning models specifically tailored for antibody sequence and structure predictions, leveraging deep learning to predict binding affinities, structural stability, and therapeutic potential.
- Leverage Cloud Platforms for Antibody Data Processing: Utilize modern cloud platforms for large-scale data processing, storage, and computation, ensuring the scalability of antibody design pipelines.
- Apply State-of-the-Art AI Techniques for Antibody Discovery: Innovate with cutting-edge AI methods, including diffusion models and neural networks, to refine antibody sequences and explore vast design spaces for novel therapeutic candidates.
- Collaborate on Antibody Drug Discovery: Work with cross-functional scientific teams to integrate data from immunology, structural biology, and bioinformatics into actionable insights for antibody discovery and optimization.
- Continuously Integrate Emerging Technologies: Stay ahead of AI and bioinformatics advancements, continuously refining and expanding in silico methods for antibody engineering and drug discovery.
EXPERIENCE
- Machine Learning Expertise: Solid experience applying AI and machine learning frameworks to biologics, particularly antibody data.
- Programming Proficiency: Proficient in Python, R, and experience with bioinformatics libraries (e.g., Biopython, PyMOL), with strong skills in cloud-based deployment of machine learning applications.
- Experience with Antibody Datasets: Demonstrated expertise in handling antibody sequence and structural data, and applying machine learning to improve therapeutic properties such as affinity, specificity, and stability.
EDUCATION
PhD in Bioinformatics, Computational Biology, Computer Science, or a related field, with demonstrated expertise in antibody design.
To be a best-fit your strengths must include:
- Data Handling Expertise for Antibody Design: Extensive experience in curating, harmonizing, and preprocessing large-scale antibody datasets, including high-throughput screening data and structural models.
- Understanding of Antibody Data Nuances: Deep understanding of antibody sequence-structure relationships, developability challenges, and immunogenicity risks, with an ability to integrate these insights into data workflows.
- Advanced AI Methods for Antibody Engineering: Experience with AI-driven techniques such as inverse folding, generative models, and structural docking to guide antibody design and optimization.
- Analytical and Strategic Skills: Strong analytical abilities to extract actionable insights from complex antibody datasets, with a focus on developing innovative therapeutic strategies.
- Collaboration and Communication: Proven ability to collaborate in agile, interdisciplinary teams and communicate effectively across scientific and technical domains.
- Passion for Innovation in Antibody Therapeutics: A passion for driving the next generation of antibody therapeutics through AI, accelerating drug discovery timelines and improving clinical outcomes.
About Advanced Clinical
Advanced Clinical is an award-winning clinical development organization that provides global services including CRO, Functional Support, Quality & Validation, Patient Recruitment and Retention, and Strategic Talent Acquisition solutions for pharmaceutical, biopharmaceutical, biotechnology, and medical device organizations. Our mission is to deliver a truly better clinical experience for our clients and candidates. To learn more about Advanced Clinical which has been named to Chicago Tribune’s Top Workplaces, Chicago’s Best and Brightest Companies, and Best of Staffing Talent & Client, visit .
Regarding your application
Please know that every completed application is carefully reviewed by the Advanced Clinical recruitment team. We understand the time commitment that is needed to prepare an application, so we respect your effort by thoughtfully reviewing and responding to each application. In return, we ask for your patience as careful review takes time, and we may not be able to respond to every application immediately.