Thermo Fisher Scientific
Bioinformatics Software Architect
Thermo Fisher Scientific, Granite Heights, Wisconsin, United States
Overview
This is a key position within the Transplant Diagnostics R&D Bioinformatics team, based in West Hills, CA. The successful candidate will have the opportunity to partner with lab scientists, data analysts, software engineers and domain experts to build pioneering technologies and develop innovative molecular typing and antibody detection products. Make an impact! Thermo Fisher Scientific Inc. is the world leader in serving science. Our mission is to enable our customers to make the world healthier, cleaner and safer. We support customers accelerating life sciences research, solving analytical challenges, improving patient diagnostics and therapies, and increasing productivity in their laboratories. What will you do?
Develop, improve, and maintain tools, pipelines, and software for the analysis of complex HLA typing data from PCR, microarray, NGS, and antibody detection platforms. 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 a Bioinformatics web portal for communication and distribution of Bioinformatics tools throughout the Transplant Diagnostics division. Work with IT to administer Bioinformatics infrastructure to ensure robust and scalable architecture that 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 collaborate with laboratory scientists in the development of new molecular and antibody products. Participate in the software development lifecycle, including writing software specifications, code and design reviews, and implementing test plans. Regularly communicate accomplishments and progress to team members and management. Education / Experience
PhD from an accredited institution with studies in Computer Science, Bioinformatics, Computational Biology, Life Sciences/Molecular Biology or related field AND 2 years of 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, team-oriented, and customer-focused with a strong work ethic. Ability to meet deadlines within a dynamic environment and manage multiple tasks with changing priorities. Curious, detail-oriented, and analytical with the ability to learn quickly. Strong understanding of statistics and machine learning to generate robust predictive models for multidimensional data. Proactively learns products and new projects and stays ahead with bioinformatics, computational, or industry trends. Clear verbal and written communication and strong problem-solving skills. Experience with project management and formal continuous process improvement techniques. Ability to collaborate effectively with diverse groups. Preferred Qualifications
Knowledge of immunology, HLA. Experience administering a Linux system. Understanding of wet lab techniques and principles in Molecular Biology, Genomics, and/or Biochemistry. SenioritY level
Not Applicable Employment type
Full-time Job function
Research, Science, and Engineering Industries: Pharmaceutical Manufacturing and Biotechnology Research Note: Referrals increase your chances of interviewing. This posting includes legacy job references and related notices that may appear in the source content but are not part of the core responsibilities of this role.
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This is a key position within the Transplant Diagnostics R&D Bioinformatics team, based in West Hills, CA. The successful candidate will have the opportunity to partner with lab scientists, data analysts, software engineers and domain experts to build pioneering technologies and develop innovative molecular typing and antibody detection products. Make an impact! Thermo Fisher Scientific Inc. is the world leader in serving science. Our mission is to enable our customers to make the world healthier, cleaner and safer. We support customers accelerating life sciences research, solving analytical challenges, improving patient diagnostics and therapies, and increasing productivity in their laboratories. What will you do?
Develop, improve, and maintain tools, pipelines, and software for the analysis of complex HLA typing data from PCR, microarray, NGS, and antibody detection platforms. 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 a Bioinformatics web portal for communication and distribution of Bioinformatics tools throughout the Transplant Diagnostics division. Work with IT to administer Bioinformatics infrastructure to ensure robust and scalable architecture that 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 collaborate with laboratory scientists in the development of new molecular and antibody products. Participate in the software development lifecycle, including writing software specifications, code and design reviews, and implementing test plans. Regularly communicate accomplishments and progress to team members and management. Education / Experience
PhD from an accredited institution with studies in Computer Science, Bioinformatics, Computational Biology, Life Sciences/Molecular Biology or related field AND 2 years of 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, team-oriented, and customer-focused with a strong work ethic. Ability to meet deadlines within a dynamic environment and manage multiple tasks with changing priorities. Curious, detail-oriented, and analytical with the ability to learn quickly. Strong understanding of statistics and machine learning to generate robust predictive models for multidimensional data. Proactively learns products and new projects and stays ahead with bioinformatics, computational, or industry trends. Clear verbal and written communication and strong problem-solving skills. Experience with project management and formal continuous process improvement techniques. Ability to collaborate effectively with diverse groups. Preferred Qualifications
Knowledge of immunology, HLA. Experience administering a Linux system. Understanding of wet lab techniques and principles in Molecular Biology, Genomics, and/or Biochemistry. SenioritY level
Not Applicable Employment type
Full-time Job function
Research, Science, and Engineering Industries: Pharmaceutical Manufacturing and Biotechnology Research Note: Referrals increase your chances of interviewing. This posting includes legacy job references and related notices that may appear in the source content but are not part of the core responsibilities of this role.
#J-18808-Ljbffr