Principal Research Scientist Computational Chemestry - #4441107

Lilly, S.A.


Fecha: 24/11/2022
Ciudad: Madrid, Madrid
Tipo de contrato: Tiempo completo
Lilly, S.A.
Lilly, a multinational pharmaceutical company, leader in research, development and commercialization of innovative products, needs to incorporate

Eli Lilly and Company is a global organization comprised of over 35,000 employees united around the common purpose of bettering human health and improving people’s lives. Since its inception in 1876, Lilly has always striven to be at the forefront of science with those goals in mind. To that end, Lilly consistently invests heavily in research and development, allocating over $7 billion annually and nearly a quarter of its workforce to discovery efforts. As part of our unwavering commitment to cutting-edge R&D, Lilly is building a world-class computational organization to revolutionize how medicines are invented

Responsibilities

The Discovery Chemistry Research and Technologies (DCRT) organization within Lilly Research Labs is a small molecule drug discovery organization with responsibilities spanning from target identification to candidate selection for clinical studies. We are looking to grow our diverse team of scientists. The Computational Chemistry and Cheminformatics (C3) group in DCRT is seeking multiple drug hunting experts with experience applying artificial intelligence (AI), machine learning (ML), data analytics and/or cheminformatics to advance small molecule drug discovery projects

Some key responsibilities:

  • Lead by example in the application of in silico technologies to small molecule drug discovery programs.
  • Champion and promote the use of cheminformatics, data analytics and AI/ML methods to expedite the Design-Make-Test-Analyze discovery cycle.
  • Algorithm/workflow development, deployment and application in a global, multi-site Linux environment including cloud computing.
  • Implement scripts and/or visual programming workflows to automate data and compute intensive in silico design tasks.
  • Work cross-functionally with colleagues in Medicinal Chemistry, Structural Biology, Pharmacology, ADME/Tox, IT and other functions within interdisciplinary drug discovery teams.
  • Identify and assess emerging computational methodologies and contribute to the scientific development direction for the group.
Basic Qualifications

  • Ph.D. in Cheminformatics, Computational Chemistry, Computer Science, Bioinformatics or related field plus 5+ years of relevant drug hunting experience in a biotech or pharma setting
  • Demonstrated impactful contributions to small-molecule drug discovery programs as exemplified by authorship on peer-reviewed publications and/or inventorship on patents/patent applications

Additional Skills/Preferences

  • Expertise in applying artificial intelligence and/or machine learning in the context of small-molecule drug discovery programs
  • Experience with AI/ML toolkits such as PyTorch and Tensor Flow
  • Expertise in cheminformatic data analysis and large-scale data handling
  • Hands on experience in use of issue tracking tools, source control, and build management.
  • High-level proficiency in scripting or programming languages such as Python, C++
  • Strong oral and written communication skills, organizational and leadership capabilities.
  • Ability to work in a Linux/Unix enterprise environment

Lilly rejects all forms of discrimination, whether based on sex, race, age, ideology, nationality, religion, sexual orientation or any other personal, physical or social condition, promoting equal opportunities in the recruitment, hiring and professional development processes and ensuring that all employees are treated with respect for this diversity. Lilly is committed to identifying and attracting talent through recruitment processes based on merit and the capabilities of the candidates, promoting the effective employment of people with disabilities and eliminating barriers that prevent their full integration
CATEGORIA

Ingenieros y técnicos

DEPARTAMENTO

IT

NIVEL

Especialista

NÚMERO DE VACANTES

1

ESTUDIOS MÍNIMOS

Doctorado

EXPERIENCIA MÍNIMA

De 3 a 5 años

JORNADA LABORAL

Completa

Cómo postularme

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