Senior Scientist I, Computational Biology

Location: San Carlos (California United States)

GigaGen is advancing transformative antibody drugs for immune deficiency infectious diseases and checkpoint-resistant cancers by leveraging industry-leading single-cell technologies. GigaGens novel technology platforms uniquely capture and recreate complete immune repertoires as functional antibody libraries. This approach has enabled the creation of first-in-class recombinant polyclonal antibody therapies for the treatment of infectious diseases.

GigaGens lead oncology asset GIGA-564 is an anti-CTLA-4 monoclonal antibody that has demonstrated improved anti-tumor efficacy in vivo through a unique mechanism of action.

GigaGen is leveraging its proprietary technology platforms for the continued discovery of novel recombinant polyclonal drugs and monoclonal antibodies to treat life-threatening diseases.

GigaGen a subsidiary of Grifols seeks a talented and highly motivated Senior Scientist Computational Biology to support antibody therapeutics discovery technology development and machine learning efforts.

This is a broad computational biology role that combines supporting diverse bioinformatics and sequencing needs across research teams with independently leading computational research and technology development projects. The ideal candidate is a versatile scientist who enjoys solving biological problems collaborating closely with experimental scientists and applying modern computational and machine learning approaches where they can meaningfully advance the science.

Responsibilities

• Analyze and critically interpret diverse biological datasets including next-generation long-read single-cell and antibody repertoire sequencing data.
• Provide computational expertise across research teams to address a broad range of bioinformatics and computational biology needs.
• Independently lead computational research and technology development projects from defining scientific questions and strategy through analysis interpretation and experimental validation.
• Apply machine learning approaches to biological datasets including predictive modeling and modern deep learning approaches for biological sequences.
• Evaluate and apply protein language models and other biological foundation models to address questions in antibody discovery and development.
• Develop robust reproducible computational workflows for processing analyzing integrating and visualizing biological data.
• Collaborate closely with computational and experimental scientists to design studies interpret results troubleshoot unexpected findings and guide subsequent experiments.
• Clearly and proactively communicate project plans progress challenges results and recommendations to collaborators and stakeholders.

Qualifications and Skills

• Education Requirements: PhD or Masters degree with significant relevant experience in Bioinformatics Computational Biology Genomics Biology Immunology or a related discipline.
• A minimum of 5 years of experience.
• Prior industry experience is preferred.
• Strong experience analyzing next-generation sequencing datasets and developing bioinformatics workflows.
• Strong proficiency in Python and/or R and in a Unix/Linux command-line environment including shell scripting and common bioinformatics tools.
• Strong quantitative reasoning statistical analysis data visualization and scientific interpretation skills.
• Experience applying machine learning to biological data including supervised learning model training and evaluation and interpretation of model performance.
• Experience with protein language models sequence embeddings fine-tuning and other modern approaches for modeling biological sequences.
• Experience or interest in applying computational approaches across diverse areas of drug discovery and technology development such as target and antibody discovery structural biology proteomics and high-throughput screening.
• Demonstrated ability to independently formulate computational approaches critically evaluate and validate results troubleshoot problems and drive projects to completion with strong attention to data quality and reproducibility.
• Excellent communication and collaboration skills including the ability to work effectively with experimental and multidisciplinary teams manage multiple priorities and proactively communicate progress timelines and challenges.

Occupational Demands: Work is performed in an office environment with exposure to electrical office equipment. Frequently sits for 6-8 hours per day. Frequent hand movement of both hands with the ability to make fast simple movements of the fingers hands and wrists. Occasionally walks and stands. Occasionally bends and twists neck. Light to moderate lifting and carrying objects with a maximum lift of 25lbs. Frequently drives to site locations with occasional travel within the United States. Able to communicate information and ideas so others will understand; with the ability to listen to and understand information and ideas presented through spoken and written words and sentences. Interacts with others relates sensitive information to diverse groups. Must work with diverse groups to obtain consensus on issues.

The estimated pay scale forSenior Scientist I Computational Biology role based inCalifornia is $148765 to $175000 per year. Additionally the position is eligible to participate in the company bonus pool. We offer a wide variety of benefits including but not limited to: Medical Dental Vision life insurance PTO paid holidays and up to 5% 401(K) match and tuition reimbursement. Final compensation packages will ultimately depend on education experience skillset knowledge where the role is performed internal equity and market data. We are committed to offering our employees opportunities for professional growth and career progression. Grifols is a global healthcare organization with employees in 30 countries focused on patient health and providing impactful results. Since our humble beginnings in 1909 Grifols has been a family company that prides itself on its family-like culture. Our company has more than tripled over the last 10 years and you can grow with us!

Third Party Agency and Recruiter Notice:

Agencies that present a candidate to Grifols must have an active nonexpired Grifols Agency Master Services Agreement with the Grifols Talent Acquisition Department. Additionally agencies may only submit candidates to positions that they have been engaged to work on by a Grifols Recruiter. All resumes must be sent to a Grifols Recruiter under these terms or they will be considered a Grifols candidate.

Grifols provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy childbirth or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability. We will consider for employment all qualified applicants in a manner consistent with the requirements of all applicable laws including but not limited to the California Fair Chance Act the Los Angeles County Fair Chance Ordinance for Employers and the City of Los Angeles Fair Chance Initiative for Hiring Ordinance.

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Location:NORTH AMERICA : USA : CA-San Carlos
NORTH AMERICA : USA : CA-San Francisco:USSCAR2 - San Carlos CA-Shoreway Road-GG

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