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Up Directory CCL 19.04.30 Computational Chemist and Cheminformatics Positions, Fronier Medicines, San Francisco, CA
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To: jobs at ccl.net
Date: Wed May 1 00:01:51 2019
Subject: 19.04.30 Computational Chemist and Cheminformatics Positions, Fronier Medicines, San Francisco, CA

Computational Chemist and Cheminformatics Positions, Fronier Medicines, San Francisco, CA

Two positions are open at Frontier Medicines. If interested, please apply by email to Jennifer Bolding jennifer#%#boldconsulting.net with the position title in the Subject: line. Provide a cover letter with your career goals and attach your resume.


Senior/Principal Scientist, Computational Chemist

Frontier Medicines, located in South San Francisco, CA, is a pre-clinical stage biopharmaceutical company that is pioneering breakthrough technologies to drug the undruggable proteome. Targeting a majority of the human proteome with small molecule drugs has been historically unsuccessful, which is one of the most critical challenges in addressing human disease. Frontiers platform, based on proprietary chemoproteomic technologies, novel protein degradation approaches, and sophisticated machine learning algorithms, makes drugging the undruggable proteome finally feasible enabling a paradigm shift in drug discovery. Our therapeutic programs are focused on some of the most important and difficult targets in human disease, starting with cancer, in order to change the lives of patients for the better.

Do you want to make a lasting impact on human health? Are you passionate about your craft and enjoy it the most when you can use it together with a highly energetic and competent team to strive towards a common goal? Are you a creative problem solver who does what it takes? If so, this might be your dream job.

Frontier Medicines is seeking a highly motivated individual to fill the position Senior/Principal Scientist Computational Chemistry to join our newly forming Data Sciences team. The successful candidate will play a leading role in developing medicinal chemistry optimization strategies for our most important targets. He/she will be reviewing experimental results and develop SAR hypotheses for activity, selectivity and properties and make suggestions to improve the profiles of our leading small molecule drug candidates. The computational chemist is a key contributor to Frontier Medicines success and will be interacting with senior leaders including the CEO routinely. This is an opportunity to join and work in a highly collaborative and energetic team in a startup environment with short communication lines across functions and departments.

At Frontier Medicines, we are focused on the discovery of new medicines to treat cancers and other serious disorders leveraging our exciting and unique chemproteomics pipeline. The position will report to the CTO and Head of Data Sciences and is located in South San Francisco.

Key responsibilities:

  • Design, execute, and analyze computational chemistry experiments utilizing ligand based and structure based drug design strategies.
  • Develop big-data type algorithmic approaches to generate insights about compound series and analyze and guide screening library design using cheminformatics techniques.
  • Stay on top of latest developments in the field of computer aided drug design (CADD) and lead the internalization of promising approaches.
  • Be a valuable partner for our internal and external medicinal chemists with expert knowledge about our small molecule lead series including SAR, properties, selectivity patterns and etc.
  • Communicate results, hypotheses and suggestions in a clear manner in written and oral form

Qualifications:

  • Ph.D. in a Computational Science (computational chemistry, computational biology or related discipline), with at least 2 years of post-graduate experience in a pharmaceutical R&D setting.
  • Expert level experience with one or more computational chemistry suites (MOE, Maestro, OpenEye) is required.
  • Working knowledge with scripting languages (e.g. Python) is required.
  • Experience working in a drug discovery setting with multi-disciplinary teams is preferred.
  • Excellent writing and verbal skills are required.
  • Ability to work with independence and drive in a startup environment.
  • A commitment to excellence, including ensuring that fellow team members focus on high quality science and a professional working environment.
  • Legally authorized to work in the US.

Scientist / Senior Scientist, Cheminformatics

Frontier Medicines, located in South San Francisco, CA, is a pre-clinical stage biopharmaceutical company that is pioneering breakthrough technologies to drug the undruggable proteome. Targeting a majority of the human proteome with small molecule drugs has been historically unsuccessful, which is one of the most critical challenges in addressing human disease. Frontiers platform, based on proprietary chemoproteomic technologies, novel protein degradation approaches, and sophisticated machine learning algorithms, makes drugging the undruggable proteome finally feasible enabling a paradigm shift in drug discovery. Our therapeutic programs are focused on some of the most important and difficult targets in human disease, starting with cancer, in order to change the lives of patients for the better.

Do you want to make a lasting impact on human health? Are you passionate about your craft and enjoy it the most when you can use it together with a highly energetic and competent team to strive towards a common goal? Are you a creative problem solver who does what it takes? If so, this might be your dream job.

Frontier Medicines is seeking a highly motivated individual to fill the position of Scientist / Senior Scientist Cheminformatics to join our newly forming Data Sciences team. The successful candidate will play a leading role developing algorithms that guide the library design of our proprietary small molecule library for Frontiers Chemproteomics pipeline. He/she will also be interacting with drug discovery teams and build workflows that support compound prioritization and experimental result interpretation to drive project teams forward. As a machine learning expert, the successful candidate will also design algorithms leveraging the wealth of Frontier Medicines internal databases with unique experimental data to understand biology and identify areas of opportunity for disease intervention.

The Cheminformatics scientist is a key contributor to Frontier Medicines success and will be interacting with senior leaders including the CEO routinely. This is an opportunity to join and work in a highly collaborative and energetic team in a startup environment with short communication lines across functions and departments.

At Frontier Medicines, we are focused on the discovery of new medicines to treat cancers and other serious disorders leveraging our evolving internal Chemproteomics pipeline. The position will report to the CTO and is located in South San Francisco.

Key responsibilities:

  • Design and build cheminformatics and machine learning based workflows to guide small molecule library design.
  • Develop advanced analytics-based workflows to help analyze experimental results from drug discovery team data and give strategic input to optimization strategies.
  • Stay on top of latest developments in the field of machine learning and cheminformatics and lead the internalization of promising approaches.
  • Be a valuable analytics partner for our drug discovery project teams.
  • Perform basic statistics and create dashboards on a routine basis to visualize data and contexts.
  • Communicate results, hypotheses and suggestions in a clear manner in written and oral form.

Qualifications:

  • Ph.D. in a Computational Science (cheminformatics, computer science, computational chemistry, computational biology or related discipline), with or without relevant post-graduate experience.
  • Expert level experience with at least one scripting/programming and analytics language (Python, Scala, Java, R or similar)
  • Solid statistics training and experience in advanced analytics and Data Science methods (random forest, clustering, neural networks and deep learning, Bayesian classifications, anomaly detection, dimensionality reduction and etc.) is required.
  • Experience with Pipelining workflow tools is preferred (Knime, Pipeline Pilot, Alteryx, RapidMiner and etc.)
  • Experience working in with multi-disciplinary teams is preferred.
  • Excellent writing and verbal skills are required.
  • Ability to work with independence and drive in a startup environment.
  • A commitment to excellence, including ensuring that fellow team members focus on high quality science and a professional working environment.
  • Legally authorized to work in the US.


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