Назад
Company hidden
5 часов назад

Senior Associate Scientist, Molecular Data

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
Для мэтча и отклика нужен Plus

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

hirify.global 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.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →