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4 дня назад

Senior Associate Scientist, Molecular Data (Cheminformatics)

120 000 - 182 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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

hirify.global 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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