Job Description
: Senior Computational Biologist
Department: Data Science, PIRC
Reports to: Director of AI in Drug Development
Job Summary: We are seeking a highly motivated and skilled
Senior Computational Biologist to join our dynamic data science team. This individual will apply advanced OMICS-oriented analytical methods, statistical modeling, and ML/AI to accelerate discovery and decision-making in support of PIRC's expanding research programs. The ideal candidate will leverage their deep expertise in computational biology, deep learning, and data-driven drug discovery to develop state-of-art solutions. This role involves close, cross-functional collaboration with Immunology, Translational Science, and Biologics teams to build sophisticated algorithms and predictive models that drive our pipeline.
The Company: It's not often you get the chance to make a real impact on the lives of others, while expanding your own possibilities. You'll find that rare opportunity at PharmaEssentia. Join us, and let's transform lives, together.
PharmaEssentia Corporation is a rapidly growing biopharmaceutical innovator. We are leveraging deep expertise and proven scientific principles to deliver effective new biologics for challenging diseases in the areas of hematology and oncology, with one approved product and a diversifying pipeline. We believe in the potential to improve both health and quality of life for patients with limited options today through the combination of rigorous research and innovative thinking.
Founded in 2003 by a team of Taiwanese-American executives and renowned scientists from U.S. biotechnology and pharmaceutical companies, today we are listed on the Taipei Exchange (TPEx: 6446) and are expanding our global presence with operations in the U.S., Japan, China and Korea, along with a world-class biologics production facility in Taichung.
This role will be in the PharmaEssentia Innovation Research Center (PIRC), the US R&D center for PharmaEssentia. As PIRC is essentially in startup mode with the full backing of PharmaEssentia HQ, this is an exciting time for PIRC and the Data Scientist will have great influence in developing and growing PIRC from the ground floor up.
Key Responsibilities - Lead multi-omics data analysis across diverse datasets, including genomics, bulk and single-cell transcriptomics, proteomics, metabolomics and pathway analysis, to address critical questions in target identification, prioritization, and translational science
- Design and implement novel computational modules and frameworks to enable seamless integration and interpretation of multi-omics data, driving insights for R&D
- Develop and apply machine learning and AI algorithms to uncover patterns and generate predictions from complex biological datasets, and accelerate target discovery and validation efforts
- Enhance internal cross-disciplinary collaboration with project teams to align computational strategies with project goals and ensure robust biological interpretation of data
- Establish best practices for data management, quality control, and reproducibility in bioinformatics pipelines, and create intuitive visualizations and detail-oriented reports to communicate findings with stakeholders, enabling data-driven decision-making
- Continuously evaluate and adopt cutting-edge computational tools, algorithms and technologies to stay at the forefront of the field and enhance data analysis capabilities
- Contribute to the strategic planning of computational/AI initiatives, influencing the direction of research programs and technological investments
- Contribute to scientific publications, conference presentations, showcasing advancements in bioinformatics and AI, and their impact on drug discovery and translational research
Qualifications
- Ph.D. in Bioinformatics, Computational Biology, Computer Science or relevant quantitative discipline
- At least 3-years work experience in combining bioinformatics/computational biology analysis and cutting-edge computational approaches (including ML/AI) for project support in cross-functional biotech or pharma setting.
- Expertise in multi-omics data analysis and result interpretation (genomics, transcriptomics and scRNASeq are must, spatial omics and image are plus)
- Proficiency in Python and R, familiarity with database management
- A strong understanding of the drug discovery and development, including target identification, lead optimization, translational research, and early clinical development
- Experience in a therapeutic area relevant to oncology and immunology
- Working knowledge of traditional machine learning algorithms, Deep learning frameworks and LLM, and their applications in drug discovery
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 to any 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 you will contribute to expanding options for people with cancer.
Job Tags
Full time, Work experience placement,