Relation is a technology-enabled biopharmaceutical company developing medicines across immunology, bone diseases and other future indications. The company builds AI and experimental systems to uncover insights into disease biology that transform the path from discovery to patient impact. Relation has raised over $80 million from leading investors including NVIDIA, DCVC, Magnetic, Ark, Deerfield, Khosla Ventures and GSK.
The opportunity
As part of Relation’s growing business development function, the Competitive & Portfolio Intelligence Lead will play a pivotal role in shaping how Relation assesses external opportunities and internal pipeline value. This role combines strategic insight, analytical rigour, and scientific understanding to drive decision-making across programmes and therapeutic areas.
You will be responsible for conducting deep market and competitive landscape analysis across therapeutic areas, identifying emerging scientific and clinical trends, and translating those insights into actionable portfolio recommendations. In parallel, you’ll build and interpret DCF and forecast models to support commercial assessments and scenario planning.
By joining Relation, you will become part of an exceptionally talented team with extraordinary leverage to advance the field of drug discovery. Your work will shape our culture, strategic direction, and, most importantly, impact patients’ lives.
Key responsibilities
Lead market landscaping and competitive intelligence across key disease areas and modalities
Develop and maintain financial and DCF models to quantify opportunities and inform portfolio strategy
Synthesise scientific, clinical and commercial data into clear insights for leadership
Partner with R&D, BD and leadership to guide decision-making on partnerships and internal portfolio
Track the market to support Relation’s mission-driven portfolio expansion
Background in life sciences, ideally with a scientific or quantitative foundation (i.e. biology, chemistry, pharmacology, biomedical sciences, or related field)
4–8 years’ experience in biotech, banking or consulting - ideally within strategy, competitive intelligence, portfolio analytics, IBD or equity research
Strong ability to interpret scientific and market data and to communicate insights
Demonstrated experience building or working with DCF and forecasting models
Highly proficient in PowerPoint and Excel with excellent analytical and presentation-building skills
Structured thinker with an ability to connect scientific and commercial perspectives
Strong communicator, confident presenting to senior stakeholders
Able to work in a fast-paced, interdisciplinary environment
Join us in this exciting role where your contributions will have a direct impact on advancing our understanding of genetics and disease risk, supporting our mission to get transformative medicines to patients. Together, we're not just doing research; we're setting new standards in the field of machine learning and genetics. The patient is waiting!
Relation Therapeutics is a committed equal opportunities employer.
RECRUITMENT AGENCIES: Please note that Relation Therapeutics does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation Therapeutics will not be liable for any fees associated with unsolicited CVs.
Top Skills
What We Do
We are an end-to-end biotech developing transformational medicines, with technology at our core. Our ambition is to understand human biology in an unprecedented way; discovering therapies that will treat some of life's most devastating diseases. We leverage single-cell and multi-omics measurements directly from patient tissue, functional assays and machine learning to drive disease understanding — from cause to cure. Medicines born from high-resolution biology, machine learning and clinical insights. Our Lab-in-the-Loop seamlessly integrates single-cell analysis, genomics and machine learning. We have developed powerful technologies which we apply to select druggable targets and develop transformational medicines.
