Sales Development Representative, Data
About The Position
The Sales Development Representative, Data opens conversations with computational and translational scientists to build pipeline for Champions’ data products. In partnership with Data Business Development, Product Development, and regional Business Development, the role identifies questions clients need answered across their development roadmaps and brings data-derived insights that strengthen client decisions. The position is remote in the US and reports to the Associate Director, Commercial Campaigns and Sales Enablement. The representative identifies and researches target accounts and contacts, conducts personalized multichannel outreach, prepares account-specific data snapshots, responds to inbound interest, and qualifies prospects for discovery calls with the Data team. The role maintains CRM records, reports pipeline and market feedback, helps develop prospecting playbooks and AI-assisted workflows, and meets activity and qualified-opportunity targets, including ramp milestones during the first six months. Occasional representation at scientific conferences and events involves limited travel.
Requirements
- Scientific fluency in oncology, genomics, and transcriptomics data, including the ability to interpret a paper or pipeline entry and identify its relevance.
- Ability to interpret data analyses and turn them into clear, account-specific snapshots.
- Comfort engaging technical audiences with tailored sales outreach.
- Research mindset and interest in examining publications, pipelines, and funding news to identify accounts and contacts.
- Experience with a CRM and disciplined activity tracking.
- Curiosity about AI tools and datasets and willingness to help build and refine AI-assisted workflows.
- Ability to balance multiple priorities with strong attention to detail.
- Effective oral and written communication skills in English.
- Either an M.S. degree in a life science, bioinformatics, computational biology, or related field and at least one year of sales experience, or a B.S. degree in one of those fields and at least two years of experience in a related role.
Nice To Haves
- Familiarity with PDX models, preclinical oncology, or translational research workflows.
- Hands-on exposure to omics data analysis using R, Python, or common bioinformatics tools.
- Experience with sales intelligence and prospecting tools.
- A network in the AI drug discovery or computational biology community.
- Experience in life sciences, a CRO, or a data or software company.
- Experience selling biological data products or tools into pharma or biotech, including genomic, transcriptomic, or clinically annotated datasets, real-world data, bioinformatics pipelines or platforms, or computational biology and AI/ML software.
Responsibilities
- Define and maintain the ideal customer profile and account tiers with Data Business Development and Marketing.
- Build target lists of pharma, biotech, and AI-first drug discovery companies, prioritizing similar accounts to existing data customers and those with relevant pipeline activity.
- Identify relevant contacts using publications, conference abstracts, professional networks, and sales intelligence tools.
- Engage pharma and biotech R&D teams, computational and bioinformatics teams, and AI-first drug discovery companies with relevant data offerings.
- Conduct personalized, multichannel outreach through email, LinkedIn, and events, connecting prospects’ programs or published work to relevant data offerings.
- Prepare account-specific data snapshots and tailored analyses to illustrate the relevance of Champions data to a target account’s programs or indications.
- Respond to inbound interest from the website, campaigns, webinars, and partner data-exchange listings.
- Qualify conversations based on scientific questions, buyer type, data needs, timing, and budget, and book discovery calls for the Data team.
- Coordinate with regional Business Development before contacting active accounts.
- Maintain accurate CRM records, log activity, and report on generated pipeline.
- Report market feedback on buyer personas, relevant offerings, exclusivity, pricing, and access questions.
- Test messaging, document effective approaches, and help develop the data prospecting playbook and AI-assisted prospecting workflows.
- Meet activity and qualified-opportunity targets established with management, including ramp milestones over the first six months.
- Occasionally represent Champions at scientific conferences and events.
- Perform other related duties as assigned.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
