Bioinformatics Software Architect at Thermo Fisher Scientific
Idaho, Idaho, USA -
Full Time


Start Date

Immediate

Expiry Date

11 Nov, 25

Salary

0.0

Posted On

11 Aug, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Linux, Hla, Collaboration, Statistics, Genomics, Computer Science, Relational Databases, Molecular Biology, Written Communication, Biochemistry, Docker, Aws, Sql, Industrial Experience, Python, Business Requirements, Computational Biology, Windows, Diverse Groups

Industry

Computer Software/Engineering

Description

JOB DESCRIPTION

Thermo Fisher Scientific Inc. is the world leader in serving science, with annual revenue exceeding $40 billion. Our Mission is to enable our customers to make the world healthier, cleaner and safer. Whether our customers are accelerating life sciences research, solving complex analytical challenges, improving patient diagnostics and therapies or improving productivity in their laboratories, we are here to support them.

EDUCATION / EXPERIENCE

  • PhD from an accredited higher learning institution with studies in Computer Science, Bioinformatics, Computation Biology, Life Sciences/Molecular Biology or related field AND 2 years of related postdoctoral or industrial experience; OR master’s degree in Computer Science, Bioinformatics, Computational Biology, Life Sciences/Molecular Biology or related field AND 4 years of related work experience; OR bachelor’s degree in Computer Science, Bioinformatics, Computational Biology, Life Sciences/Molecular Biology or related field AND 6 years of related work experience
  • Experience developing analytical software tools using machine learning methods and programming languages, such as C#, Python, and SQL
  • Experience developing relational databases
  • Experience in developing web tools and services
  • Experience with cloud technologies such as AWS and docker

KNOWLEDGE, SKILLS, ABILITIES

  • Ability to translate scientific and business requirements to build robust and scalable software tools
  • Proficiency in building and maintaining NGS or other bioinformatics analysis pipelines
  • Proficiency working in Windows and Linux environments
  • Pragmatic self-starter who is proactive, self-motivated, team-oriented, and customer-focused with a strong work ethic
  • Ability to meet deadlines within a dynamic environment and able to handle multiple tasks simultaneously while adapting to changing priorities
  • Be curious, detail oriented, and analytical, with a proven ability to learn quickly
  • Sound understanding of statistics, machine learning algorithms, the ability to generate robust predictive models for multidimensional data
  • Proactively learns products and new projects and stays ahead with Bioinformatics, computational or industry trends
  • Good verbal and written communication and well-founded problem-solving skills
  • Demonstrated skills in project management and formal continuous process improvement techniques
  • Ability to work effectively in collaboration with diverse groups of people

PREFERRED QUALIFICATIONS

  • Knowledge of immunology, HLA
  • Experience administrating a Linux system
  • Understanding wet lab techniques and principles in the field of Molecular Biology, Genomics, and/or Biochemistry

How To Apply:

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Responsibilities
  • Build software tools, including development and implementation of new computational algorithms using machine learning and statistical models to provide solutions for process automation and data analytics for the R&D and manufacturing teams
  • Develop pipelines for NGS analysis and other bioinformatics workflows
  • Build and maintain Bioinformatics web portal for communication and distribution of Bioinformatics tools throughout the Transplant Diagnostics division
  • Work with IT team to administer Bioinformatics infrastructure to ensure a robust and scalable architecture that effectively supports Bioinformatics software
  • Search relevant sequence information from external sources for primer and probe design, as well as mining and analysis of genomic libraries and genomes
  • Analyze and interpret complex experimental results and work hand in hand with laboratory scientists for the research and development of new molecular and antibody products
  • Actively participate in software development lifecycle, including writing software specifications, code and design reviews, implementing test plans
  • Regularly communicate accomplishments and progress to team members and management
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