Senior Scientist I, Computational Biology

Grifols, S.A; San Carlos (CA); On-site; USD 149,000 - 175,000; Full time

Benefits offered by this job

Medical, Dental, Vision

Paid time off

401(k) match

Tuition reimbursement

Job summary

Grifols, S.A. is seeking a Senior Scientist I in Computational Biology to support antibody discovery and ML-driven analysis. The role combines leading projects with cross-disciplinary teams, designing studies, and translating data into actionable insights.

You will work across research groups on diverse sequencing data, implement robust workflows, and apply modern ML approaches to improve discovery in antibody therapeutics. California-based position with a broad impact.

Qualifications

• PhD or Masters with significant experience in Bioinformatics, Computational Biology, Genomics, Immunology, or related field.
• 5+ years of relevant industry experience.
• Experience analyzing next-generation sequencing datasets and developing bioinformatics workflows.
• Strong proficiency in Python and/or R in a Unix/Linux environment.
• Experience applying machine learning to biological data and protein language models.
• Ability to independently formulate computational approaches and drive projects.
• Excellent communication and collaboration skills.

Responsibilities

• Analyze and interpret diverse biological datasets, incl. next-gen, long-read, single-cell, and antibody repertoire data.
• Provide computational expertise across research teams for bioinformatics needs.
• Lead computational research and technology development projects end-to-end.
• Apply ML to biological data, including predictive modeling and deep learning for sequences.
• Evaluate protein language models for antibody discovery and development.
• Develop robust, reproducible computational workflows for data processing and visualization.
• Collaborate with computational and experimental scientists to design and guide studies.

Skills

Data analysis

Single-cell sequencing

Antibody sequencing

Collaboration

Communication

Education

PhD or Master’s in Bioinformatics/Computational Biology/Genomics/Immunology

Tools

Unix/Linux

Python

R

Machine learning workflows

Job description

Senior Scientist I, Computational Biology

Location:

CA-San Carlos, US

Contract Type: Regular Full-Time

Area: R & D

Would you like to join an international team working to improve the future of healthcare? Do you want to enhance the lives of millions of people? Grifols is a global healthcare company that since 1909 has been working to improve the health and well-being of people around the world. We are leaders in plasma-derived medicines and transfusion medicine and develop, produce and market innovative medicines, solutions and services in more than 110 countries and regions.

GigaGen is advancing transformative antibody drugs for immune deficiency, infectious diseases, and checkpoint-resistant cancers by leveraging industry-leading, single-cell technologies. GigaGen's 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.

GigaGen's 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 Master's 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 p ay scale forSenior Scientist I, Computational Biology role based inCalifornia, is $ 148,765 to $175,000 per year. Ad ditionally, 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.