Hoffmann-La Roche Limited needs candidates currently pursuing a Master's degree in Biotechnology, Biomedical Engineering or a related field. Candidates need strong English communication skills, proficiency in MS Office or Google Workspace, and basic knowledge of GxP, cGMP or ISO quality standards.
7+ YOECandidates need an advanced degree (MD, PhD, PharmD or equivalent), 7+ years in pharmaceutical or healthcare industry, and 3-5 years leading RWD or NIS evidence work. Strong knowledge of RWE methods, data privacy and HTA or regulatory evidence expectations is required.
3+ YOECandidates need a B.A., B.S. or higher degree, preferably in life science, with 3 to 5 years of cGMP pharmaceutical or biopharmaceutical experience. They need cross-functional leadership, drug substance and drug product manufacturing knowledge, and skills with eQMS platforms and analytics tools.
Veeva, TrackWise, Tableau, Power BI, Spotfire, SQL
Candidates need to be pursuing a Master's in Biomedical Discovery and Commercialization, Biotechnology or a closely related field. They need strong organizational and problem-solving skills, fluent written and spoken English, and good interpersonal skills.
7+ YOECandidates need a bachelor's degree and 7 to 10 or more years in pharmaceutical or healthcare. They need 5 or more years of patient or consumer insight work and strong storytelling, Excel and PowerPoint skills, and the ability to influence without direct authority.
7+ YOECandidates need a bachelor's degree in business, life sciences or a related field, over 7 years of procurement experience in commercial or corporate services, and a background in supplier innovation, digital solutions or high-value negotiations. Strong presentation skills and a challenger mindset are essential, and management consulting experience is preferred.
3+ YOECandidates need a science or technical bachelor's degree or higher and 3 to 5 years in a regulated pharmaceutical or biotech setting, including hands-on QC lab work. They also need knowledge of AI and agentic workflows, cGMP, ICH guidelines, computerized system validation and data integrity, plus strong skills for explaining technical topics to non-technical staff.
Quality control, Process improvement, Decision making, Biotechnology, Data analysis, Troubleshooting
Candidates need a bachelor's degree in a science field (or equivalent life sciences or healthcare experience), strong communication and critical data analysis skills, and knowledge of pharma regulations such as GCP and pharmacovigilance. Clinical and therapeutic knowledge, evidence generation and health technology assessment understanding are preferred.
Communication skills, Reporting, Quality assurance procedures, Provide training, Customer service, Regulatory compliance
8+ YOECandidates need a Bachelor's degree in Computer Science, Engineering or a related field, 8+ years of consultancy experience, and 5+ years in life sciences or pharma. Strong executive communication, Agile scaling and mentoring skills are required, along with familiarity with analytics, AI/ML and data tools.
5+ YOECandidates need a science, computer science or engineering degree and 5 to 7 years of experience in a regulated pharmaceutical, biotech or medical device setting. They must have hands-on AI/ML experience, knowledge of FDA, EMA and GAMP 5 rules, and skills in Python or R and cloud platforms.
7+ YOECandidates need 7 or more years of contract management experience in pharmaceutical manufacturing, an advanced legal degree, PhD or master's (or equivalent experience), and experience leading cross-functional project teams. Cell and gene therapy contracting and German are preferred.
10+ YOECandidates need a PhD or Master's in a quantitative field and at least 10 years of experience in data science or statistical computing. They must show expertise in Python or R, scaling scientific software, clinical research and regulatory environments, and leading senior stakeholders across time zones.
Data visualization, Decision making, Leadership, Systems thinking, Collaboration, Computer science
4+ YOECandidates need a Master's degree with 7+ years of related experience, or a PhD with 4+ years. They need strong knowledge of high-throughput sequencing analysis, skill in Python, R or C++ on Linux, and experience with workflow managers and containers.