Grifols hiring Sr. Computational Biologist, Real World Data in San Diego, California, United States | LinkedIn (2024)

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.

SummaryResponsible for executing computational biology projects to support Grifols stakeholders (ie. Alkahest Data Science, Alkahest Proteomics, Plasma R&D, Biosupplies). Leads and advises data analysis, interpretation and integration of large scale omics and real world data.

Primary Responsibilities For Role

• Executes on cross-functional scientificdesign experiments/ projects that contribute to overall direction of department/ discipline
• Applies professional concepts to create and contribute to development of methods to resolve problems and advance analysis.
• Listens and guides debates to help reach a consensus; once a decision is made, clearly communicates and backs that decision.
• Executes the integrative analysis of both Alkahest and Grifols data sets, mainly through independent study, which are critical and have a high impact.
• Serve as one of the internal contacts for Computational Genomics/Proteomics
• Contributes to the development of computational methodologies and strategies in creative and effective ways
• Creates cross-functional networks with peers and key decision makers and serves as internal spokesperson for the organization for his/her function
• Attends and regularly participates in national and international scientific meetings
• May mentor other biologists and scientists to improve the quality and quantity of their work- primary role is an individual contributor
• Serve as emerging leader in field while sustaining performance and accomplishent

Additional Responsibilities

• Demonstrates autonomy in selecting methods, techniques, and evaluation criteria for obtaining results
• Achieves measurable accomplishments that advances the scientific and/or technical field
• Authorship of abstracts, posters and peer-reviewed papers
• Regular contributor to scientific literature and beginning to gain recognition externally
• Monitors and evaluates completion of tasks and projects

Knowledge, Skills & Abilities

• Ability to exercise independent judgment in developing methods, techniques and evaluation criteria for obtaining results
• Ability to explain difficult concepts and influence others
• Must have excellent written and oral communication skills
• Ability to draws conclusions from new/novel research to create new solutions to critical new problems
• Demonstrated expert knowledge of scientific principles and concepts for his/her discipline
• Solid expertise in statistics and modeling, including but not limited to linear and non-linear modeling, multivariate analysis, network analysis, machine learning, and algorithm development
• Experience with large languge models is a plus
• Experience with real world data is a plus
• Strong experience in the analysis and interpretation of omics data
• Solid programming skills in R or python
• Significant experience in analyzing and modeling high dimensional biological data

Education & Experience

• PhD; Educational degrees must be relevant to position (e.g., bioinformatics, biostatistics, computer science or related field applied to biological data.)
• Typically requires 8+ years of relevant experience

Equivalency

• BA/BS or advanced degree with at least 12+ years of advanced experience.

This job description is intended to present the general content and requirements for the performance of this job. The description is not to be construed as an exhaustive statement of duties, responsibilities, or requirements. Managers and supervisors may assign other duties as needed.

Pay ScaleThe estimated pay scale for the Sr. Computational Biologist, Real World Data role based in the United States (non-California), is$111,000.00-$165.000.00 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, PTO, 9 paid Holidays per year, up to 5% 401(K) match and tuition reimbursem*nt. 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!

For CaliforniaThe estimated pay scale for the Sr. Computational Biologist, Real World Data role based in San Francisco, San Carlos or Emeryville, California, is$140,000.00- $208,000.00 per year.

The estimated pay scale for the Sr. Computational Biologist, Real World Data role based in all other cities in California is $128,000.00 - $190,000.00 per year.

For Washington StateCurrently, the first year PTO accrual for this role is 120 hours per year. Then, after completion of 365 days of employment the PTO accrual for this role will increase to 160 hours per year.

Third Party Agency And Recruiter NoticeAgencies 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, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other characteristic or status protected by law. We will consider for employment all qualified Applicants, including those with arrests or conviction records, in a manner consistent with the requirements of applicable state and local laws, including the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. 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