PharmaEssentia
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Job Description: Bioinformatics Engineer
Department:
Data Science, PIRC
Reports to:
Director of AI in Drug Development
Job Summary:
We are seeking a highly motivated and skilled Bioinformatics Engineer to join our dynamic data science team. In this role, you will be instrumental in supporting our drug discovery and development programs by building, deploying, and maintaining robust computational pipelines and frameworks. You will analyze complex, large-scale biological datasets (e.g., genomics, transcriptomics, proteomics) to help identify novel drug targets, discover predictive biomarkers, and understand disease mechanisms. This position requires a strong technical background in data analysis, software engineering, and computational biology, combined with a passion for applying these skills to solve challenging problems in pharmaceutical research.
The Company:
PharmaEssentia Corporation is a rapidly growing biopharmaceutical innovator. We leverage deep expertise and proven scientific principles to deliver effective new biologics for challenging diseases in hematology and oncology, with one approved product and a diversifying pipeline. Founded in 2003, we are listed on the Taipei Exchange (TPEx: 6446) and operate globally with facilities in the U.S., Japan, China, Korea, and Taichung.
Key Responsibilities
Pipeline & Framework Development: design, build, optimize, and maintain scalable, reproducible bioinformatics pipelines for large-scale omics data; build internal computational frameworks for multi-omics integration and visualization.
Data Analysis: perform comprehensive analysis of genomic, transcriptomic, and proteomic datasets to support target identification, validation, and biomarker discovery.
Tool & Infrastructure Management: implement and manage computational tools, workflows, and databases; utilize cloud computing and containerization for efficient, scalable infrastructure.
Collaboration: work closely with bench scientists, biologists, and clinicians to understand experimental design, interpret complex data, and communicate effectively.
Innovation & Methodology: stay current with computational biology methods, algorithms, and software; evaluate and implement new technologies to enhance our team's analytical capabilities.
Documentation: maintain high-quality documentation for all code, pipelines, and analyses to ensure reproducibility and compliance.
Required Qualifications
Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a relevant quantitative discipline.
2+ years of post-graduate experience, preferably in a biotech or pharmaceutical setting.
Strong programming skills with expertise in at least two of the following: Python, R, Java, C#.
Familiarity with database management (SQL, NoSQL).
Demonstrated experience in building and managing automated bioinformatics workflows.
Working knowledge of machine learning algorithms, deep learning frameworks, LLM and AI agents, and their applications in drug discovery.
Familiarity with cloud computing platforms (AWS, GCP, or Azure) and HPC environments.
Good understanding of biology.
Excellent problem-solving abilities, strong communication skills, and proven ability to collaborate effectively in a team-oriented, cross-functional environment.
Preferred Qualifications
Experience in a therapeutic area relevant to oncology and immunology.
Familiarity with software development best practices and version control.
Experience with data lake.
EEO Statement At PharmaEssentia Innovation Research Center (PIRC), we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, color, religion, sex, pregnancy (including childbirth and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. PIRC believes that diversity and inclusion among our team are critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. PIRC does not accept unsolicited agency resumes. Staffing agencies should not send resumes to our HR team or PIRC employees. PIRC is not responsible for any fees related to unsolicited resumes from staffing agencies.
At PharmaEssentia, our goal is to treat as many people with cancer as possible. That means challenging the status quo with better science that leads to better lives. By joining our team, you will not only expand your own possibilities, but will contribute to expanding options for people with cancer.
https://us.pharmaessentia.com/careers/
#J-18808-Ljbffr
Job Description: Bioinformatics Engineer
Department:
Data Science, PIRC
Reports to:
Director of AI in Drug Development
Job Summary:
We are seeking a highly motivated and skilled Bioinformatics Engineer to join our dynamic data science team. In this role, you will be instrumental in supporting our drug discovery and development programs by building, deploying, and maintaining robust computational pipelines and frameworks. You will analyze complex, large-scale biological datasets (e.g., genomics, transcriptomics, proteomics) to help identify novel drug targets, discover predictive biomarkers, and understand disease mechanisms. This position requires a strong technical background in data analysis, software engineering, and computational biology, combined with a passion for applying these skills to solve challenging problems in pharmaceutical research.
The Company:
PharmaEssentia Corporation is a rapidly growing biopharmaceutical innovator. We leverage deep expertise and proven scientific principles to deliver effective new biologics for challenging diseases in hematology and oncology, with one approved product and a diversifying pipeline. Founded in 2003, we are listed on the Taipei Exchange (TPEx: 6446) and operate globally with facilities in the U.S., Japan, China, Korea, and Taichung.
Key Responsibilities
Pipeline & Framework Development: design, build, optimize, and maintain scalable, reproducible bioinformatics pipelines for large-scale omics data; build internal computational frameworks for multi-omics integration and visualization.
Data Analysis: perform comprehensive analysis of genomic, transcriptomic, and proteomic datasets to support target identification, validation, and biomarker discovery.
Tool & Infrastructure Management: implement and manage computational tools, workflows, and databases; utilize cloud computing and containerization for efficient, scalable infrastructure.
Collaboration: work closely with bench scientists, biologists, and clinicians to understand experimental design, interpret complex data, and communicate effectively.
Innovation & Methodology: stay current with computational biology methods, algorithms, and software; evaluate and implement new technologies to enhance our team's analytical capabilities.
Documentation: maintain high-quality documentation for all code, pipelines, and analyses to ensure reproducibility and compliance.
Required Qualifications
Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a relevant quantitative discipline.
2+ years of post-graduate experience, preferably in a biotech or pharmaceutical setting.
Strong programming skills with expertise in at least two of the following: Python, R, Java, C#.
Familiarity with database management (SQL, NoSQL).
Demonstrated experience in building and managing automated bioinformatics workflows.
Working knowledge of machine learning algorithms, deep learning frameworks, LLM and AI agents, and their applications in drug discovery.
Familiarity with cloud computing platforms (AWS, GCP, or Azure) and HPC environments.
Good understanding of biology.
Excellent problem-solving abilities, strong communication skills, and proven ability to collaborate effectively in a team-oriented, cross-functional environment.
Preferred Qualifications
Experience in a therapeutic area relevant to oncology and immunology.
Familiarity with software development best practices and version control.
Experience with data lake.
EEO Statement At PharmaEssentia Innovation Research Center (PIRC), we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, color, religion, sex, pregnancy (including childbirth and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. PIRC believes that diversity and inclusion among our team are critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. PIRC does not accept unsolicited agency resumes. Staffing agencies should not send resumes to our HR team or PIRC employees. PIRC is not responsible for any fees related to unsolicited resumes from staffing agencies.
At PharmaEssentia, our goal is to treat as many people with cancer as possible. That means challenging the status quo with better science that leads to better lives. By joining our team, you will not only expand your own possibilities, but will contribute to expanding options for people with cancer.
https://us.pharmaessentia.com/careers/
#J-18808-Ljbffr