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Machine Learning Engineer - Bioinformatics (Antibody)

InQuest Technologies

Rockville, Moldova · ಪೂರ್ಣ ಸಮಯ

ಅರ್ಜಿ ಸಲ್ಲಿಸುವವರಲ್ಲಿ ಮೊದಲಿಗರಾಗಿರಿ

ಅನುಭವ
ಯಾವುದೇ
ಸಂಬಳ
ತೆರೆಯುವಿಕೆಗಳು
1
ಪೋಸ್ಟ್ ಮಾಡಲಾಗಿದೆ
1 ಗಂಟೆ ಹಿಂದೆ

Where you'll work

ಕೆಲಸದ ವಿವರ

Role overview

OriGene Technologies is looking for a Machine Learning Engineer focused on bioinformatics and antibody research. The position centers on building AI-driven solutions for sequence analysis, protein modeling, and data pipelines that support scientific discovery.

About the company

OriGene Technologies Inc. is a women-led life sciences organization based in Rockville, Maryland, with a history dating back to 1996 and a presence that reaches both national and global markets. The company develops genomic and proteomic tools that help researchers move scientific work forward. Its teams are built around collaboration, inclusion, and continuous learning.

The company emphasizes employee well-being through work-life balance, mentorship, development opportunities, annual merit increases, and bonuses. It also promotes a team-oriented culture and has taken steps to reduce the environmental footprint of its lab and office spaces.

What you will do

  • Create and deploy machine learning and deep learning models for antibody sequence analysis and protein modeling.
  • Build and support bioinformatics workflows for processing genomic and proteomic datasets.
  • Use statistical and AI-based methods to analyze biological data.
  • Contribute to antibody discovery work, including structure prediction and ranking of candidate molecules.
  • Work LLMs into research processes where they add value.
  • Partner with R&D and product teams to turn computational findings into usable applications.
  • Tune models using tools such as PyTorch or TensorFlow.
  • Prepare documentation and help draft research reports.
  • Take on additional duties as needed.

What the role requires

  • A master’s degree in biomedical engineering, computer science, bioinformatics, or a closely related discipline.
  • Solid understanding of machine learning and statistical modeling.
  • Hands-on ability in Python and machine learning libraries/frameworks.
  • Prior work with biological datasets is preferred.
  • Strong analytical thinking and problem-solving ability.
  • Clear written and verbal communication skills.
  • Ability to work both independently and in a team setting.
  • Comfort using Microsoft Office tools, including word processing, email, spreadsheets, and databases.
  • Well-organized, self-driven, and collaborative.
  • Positive attitude, creativity, and a strong team mindset.
  • Capability to work with diverse colleagues and support customers.

Benefits and perks

  • Medical coverage, including prescription drug benefits and access to HealthJoy support.
  • Dental and vision insurance.
  • HSA/FSA options, including dependent care support.
  • Company-paid life insurance, accidental death and dismemberment coverage, short-term disability, long-term disability, and employee assistance program.
  • 401(k) match up to 6%.
  • 15 personal days each year.
  • 11 holidays plus 2 floating holidays.
  • Flexible work arrangements, including hybrid options for qualifying roles.
  • Learning, development, mentorship, merit increases, and bonuses.
  • Regular employee events and a work environment that values balance and teamwork.

Additional information

OriGene is an equal opportunity employer and considers applicants without discrimination on the basis of protected characteristics.

Work conditions

This is an on-site full-time role in Rockville, MD. The job may involve regular sitting, walking, speaking, hearing, and use of hands and fingers. At times, the role may also require standing, reaching, stooping, kneeling, crouching, or crawling. The position may involve lifting or moving items up to 25 pounds, and visual requirements include close, distance, color, peripheral, and focus adjustment abilities.

Mission

The company’s mission is to provide comprehensive genome, protein, and antibody solutions built on proprietary cDNA clone collections, supported by innovation and strong customer engagement.

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