5 часов назад
Senior Associate Scientist, Molecular Data
120 000 - 182 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Associate Scientist, Molecular Data (Cheminformatics/Python): Analyzing and visualizing molecular data from computational discovery platforms to prioritize hits, validate binding profiles, and refine target-specific screening strategies with an accent on cheminformatics, scientific data analysis, and high-throughput screening. Focus on querying molecular datasets, automating workflows, translating platform binding results to off-platform assays, and communicating scientific insights to computational and experimental teams.
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, and automation to discover and develop small-molecule medicines.
What you will do
- Analyze and visualize data from computational drug discovery platforms.
- Collaborate with project teams to identify and prioritize molecular hits for 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/MS in cheminformatics, pharmaceutical chemistry, medicinal chemistry, computational chemistry, data science, or a related scientific discipline.
- Understanding of chemical structures, molecular properties, compound profiling, high-throughput screening, and hit identification.
- Experience with cheminformatics or scientific software tools 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.
- Strong problem-solving, data analysis, 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 experts in artificial intelligence, chemistry, drug discovery, automation, and nanotechnology.
- Stock option plan participation.
- 3% retirement safe harbor contribution.
- Fully paid health, dental, and vision insurance for employees and their families, plus life and disability coverage.
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