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6 дней назад

Postdoctoral Associate (AI/ML)

70 000 - 92 666$
Формат работы
onsite
Тип работы
fulltime
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
Postdoctoral Associate (AI/ML) (Cancer Genomics/Computational Biology): Developing and validating AI-driven prediction models for multiple myeloma by integrating whole-genome sequencing, single-cell transcriptomics, immune profiling, and clinical data with an accent on therapeutic response and resistance prediction. Focus on designing statistical models, analyzing novel data types, and translating computational findings into precision medicine in collaboration with scientists, engineers, and clinicians.

Location: Cambridge, MA; On-Site

Salary: $70,000–$92,666.67 per year

Company

hirify.global is a cancer research institute conducting computational and experimental studies of cancer genomes in collaboration with Massachusetts General Hospital and Dana-Farber Cancer Institute.

What you will do

  • Lead data analysis strategies for research projects, especially AI-driven prediction models for multiple myeloma.
  • Develop and evaluate tools for analyzing novel data types.
  • Conceive, implement, and test statistical models and analyze experimental data.
  • Present results to computational and non-computational audiences.
  • Prepare manuscripts, grants, patents, reports, and presentations.
  • Teach and mentor junior team members when appropriate.

Requirements

  • PhD in Bioinformatics, Computer Science, Machine Learning, Engineering, Mathematics, Statistics, Physics, or a related quantitative discipline.
  • 0–1+ years of post-graduate experience.
  • Demonstrated experience developing and validating machine learning models.
  • Experience with computational analysis, algorithm development, and statistics.
  • Proficiency in at least one modern programming language.
  • Ability to collaborate with bioinformaticians, wet-lab experimentalists, and clinicians.
  • Experience conducting rigorous and reproducible research in a fast-paced environment.
  • Fast learning, analytical thinking, creativity, hands-on approach, teamwork, and strong oral and written communication skills.
  • Knowledge of cancer genomics is not required, but willingness to acquire it is imperative.

Nice to have

  • Experience with a scientific programming environment such as Python, R, or Matlab.
  • Prior experience applying AI/ML methods in cancer.

Culture & Benefits

  • Interdisciplinary, collaborative, supportive, and respectful research environment with scientists, engineers, and clinicians.
  • Mentoring, peer support, educational opportunities, conferences, boot camps, journal clubs, and regular scientific meetings.
  • Initial work period of 2 years, with potential follow-on work beyond 2 years.
  • Base pay is based on a 40-hour-per-week schedule.
  • Benefits include medical, dental, vision, life and disability insurance, 401(k), FSA and HSA, paid holidays, winter closure, paid time off, parental and family care leave, and an employee assistance program.

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