4 дня назад
Senior Associate Scientist, Molecular Data (Cheminformatics)
120 000 - 182 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior Associate Scientist, Molecular Data (Cheminformatics): Analyzing and visualizing molecular data from computational discovery platforms to identify and prioritize hits for synthesis, testing, and pipeline progression with an accent on cheminformatics, hit validation, and target-specific screening strategies. Focus on translating tArray binding profiles to off-platform assays, querying scientific data with SQL, and supporting automated workflows with Python.
Location: Remote (United States)
Salary: $120,000–$182,000 annually, depending on experience.
Company
is a venture-backed biotechnology company combining nanotechnology, experimental science, machine learning, automation, and proprietary chemical data to discover and develop small-molecule medicines.
What you will do
- Analyze and visualize data from computational discovery platforms.
- Collaborate with project teams to identify and prioritize hits for follow-up synthesis, testing, and pipeline progression.
- Perform hit-validation analyses with computational and assay teams.
- Evaluate how tArray platform binding profiles translate to off-platform assays.
- Partner with screening teams to develop and refine target-specific screening strategies.
Requirements
- BS or MS in cheminformatics, pharmaceutical chemistry, medicinal chemistry, computational chemistry, data science, or a related scientific discipline.
- Strong interest in programming and data-driven research.
- Understanding of chemical structures, molecular properties, compound profiling, high-throughput screening, and hit identification.
- Experience with cheminformatics or scientific software such as RDKit or Spotfire.
- Working knowledge of Python for scientific data analysis, automation, and workflow support, including pandas, NumPy, SciPy, and Matplotlib.
- Knowledge of SQL, Linux environments, and version control tools such as Git, plus strong problem-solving and scientific communication skills.
Nice to have
- Exposure to machine learning methods such as clustering, regression, or pattern recognition.
Culture & Benefits
- Hands-on, collaborative environment connecting computational and experimental teams.
- Work alongside specialists in artificial intelligence, chemistry, drug discovery, automation, and nanotechnology.
- Stock option plan and a 3% retirement safe harbor contribution.
- Fully paid health, dental, and vision insurance for employees and eligible family members.
- Life insurance, disability coverage, and additional benefits.
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