Gilead Sciences

Gilead Sciences

Post Doc Scientist, Structural Biology and Chemistry

United States - California - Foster City

Sponsorship not specifiedDetected 73 days ago
PythonMachine LearningPublic HealthResearchCommunicationCollaborationPublic Speaking

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odds of building a lasting career here

38Risky
Cap-exempt (no lottery)0
Sponsors this role85
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 5 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card follow-through: 71%

Of 38 labor certifications old enough to have been used, 11 expired without the employer filing the next step. Median time from filing to decision: 482 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

34 transfer filings in the last year, covering 34 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • At Gilead our pursuit of a healthier world for all people has yielded a cure for hepatitis C, revolutionary improvements in HIV treatment and prevention as well as advancements in therapies for viral and inflammatory diseases and certain cancers.
  • We set and achieve bold ambitions in our fight against the world's most devastating diseases, united in our commitment to confronting the largest public health challenges of our day and improving the lives of patients for generations to come.
  • working on AI/ML for Small Molecule Drug Discovery.

Responsibilities

  • Detailed evaluation and analysis of AI tools and ML models which can be impactful for various stages of Small Molecule Drug Discovery, from hit identification through hit-to-lead to lead optimization.
  • Ability to design, implement and evaluate robust model validation strategies, including uncertainty quantification and applicability domain assessment.
  • Join Gilead and help create possible, together.

Requirements

  • Ph.D. and 0+ years of relevant research experience with deep expertise in AI/ML as applied to drug discovery and/or in Computational Chemistry.

Skills

  • Knowledge of machine learning architectures relevant to chemistry and structural biology.
  • Strong programming skills in Python and proficiency with ML frameworks.
  • Expertise with cheminformatics toolkits such as RDKit, OpenEye or Schrodinger desired.
  • Excellent communication skills (both verbal and technical) and interpersonal skills.

Compensation

  • However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have

Benefits

  • We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference.
  • Implement and analyze methods used to enable virtual screening of ultra-large libraries, including but not limited to Active Learning and Thompson Sampling.

Company info

  • At Gilead, we're creating a healthier world for all people.
  • Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact.
  • As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations.

This listing is sourced directly from Gilead Sciences's careers page and normalized into a canonical job model.