2 дня назад
Bioinformatics Leader (AI)
200 000 - 229 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Bioinformatics Leader (AI): Leading bioinformatics strategy, computational workflows, and client engagements for multi-omics analysis in drug discovery with an accent on genomics, transcriptomics, proteomics, and translational research. Focus on designing cloud-based workflows, translating biological questions into analytical frameworks, advising R&D stakeholders, and mentoring bioinformatics staff.
Location: Boston, Massachusetts; London, United Kingdom; Lyngby, Denmark; or New York, New York. Hybrid working model combining work from home with on-site presence at client or offices. Client-facing travel is required as needed.
Salary: $200,000–$229,500 per year
Company
is a management consulting and technology firm combining data, science, technology, analytics, and human expertise to develop solutions for pharmaceutical and biotech clients.
What you will do
- Lead bioinformatics strategy and execution across client engagements as the primary scientific and analytical contact.
- Design and implement computational workflows for genomics, transcriptomics, proteomics, and other multi-omic data in drug discovery and translational settings.
- Translate complex biological questions into analytical frameworks and present clear insights to research and R&D stakeholders.
- Contribute to proposals, business development, account expansion, and client conversations.
- Collaborate with scientific strategy, AI, data, and technology teams to deliver integrated solutions.
- Mentor junior bioinformatics staff and help develop internal tools, methodologies, and thought leadership.
Requirements
- PhD, Master's degree, or equivalent applied experience in bioinformatics, computational biology, genomics, or a related field.
- Hands-on proficiency with bioinformatics tools and programming languages including Python, R, Nextflow, and Snakemake, plus experience with cloud-based compute environments.
- Expertise in at least one biological modality, such as genomics, transcriptomics, or single-cell analysis, with AI and machine learning applied in a scientific context.
- Experience working with human patient-level data and multimodal datasets including omics, imaging, clinical, or real-world evidence data.
- Strong communication skills for presenting complex findings to scientific and non-scientific audiences.
- For work in the United States, candidates must already have authorization that does not now or in the future require employer sponsorship. Visa sponsorship is not available.
Nice to have
- Experience in consulting, a CRO, biotech, or pharmaceutical R&D.
- Client-facing or professional services experience.
Culture & Benefits
- Cross-functional skills development and custom learning pathways.
- Milestone training programs aligned with career progression.
- Internal mobility opportunities and role expansion paths.
- Comprehensive rewards supporting health, well-being, financial planning, time away, and professional development.
- Flexible collaboration between home and on-site work, with opportunities to work across different client environments and cultures.
Hiring process
- Submit an online application with a full set of official or unofficial transcripts.
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