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9 дней назад

Sales Development Representative, Data (AI/Biotech)

60 000 - 70 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Sales Development Representative, Data (AI/Biotech): Building qualified pipeline for oncology data products by engaging pharma, biotech, and AI-first drug discovery companies with an accent on scientific prospecting, account-specific data snapshots, and multi-channel outreach. Focus on interpreting genomics and transcriptomics data, qualifying data-product opportunities, and shaping AI-assisted prospecting workflows.

Location: Fully remote within the United States; reporting location is Remote, US. Limited travel to scientific conferences and events may be required.

Salary: $60,000–$70,000 per year; Monday–Friday, 9:00 AM–5:00 PM.

Company

hirify.global develops oncology data products and data-derived insights for pharmaceutical, biotech, and AI-first drug discovery organizations.

What you will do

  • Define and maintain ideal customer profiles, account tiers, and target lists across pharma, biotech, and AI-first drug discovery companies.
  • Identify computational biologists, bioinformaticians, data scientists, translational leads, and other relevant contacts through publications, conference abstracts, professional networks, and sales intelligence tools.
  • Run personalized email, LinkedIn, and event outreach connected to prospects’ programs, published work, and relevant data offerings.
  • Prepare account-specific data snapshots and tailored analyses showing what Champions data could reveal for target accounts and indications.
  • Respond to inbound interest, qualify scientific questions, buyer type, data needs, timing, and budget, and book discovery calls for the Data team.
  • Maintain CRM records, report pipeline feedback, test messaging, and help develop AI-assisted prospecting workflows while coordinating with regional Business Development.

Requirements

  • M.S. degree in life science, bioinformatics, computational biology, or a related field with at least one year of sales experience; or a B.S. degree in one of these fields with two or more years of experience in a related role.
  • Scientific fluency in oncology, genomics, and transcriptomics data, including the ability to read a paper or pipeline entry and identify its relevance.
  • Ability to assemble and interpret data analyses and turn them into clear, account-specific snapshots.
  • Comfort engaging technical audiences and a research mindset focused on publications, pipelines, funding news, 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 several priorities simultaneously with high attention to detail.
  • Effective oral and written communication skills in English are required.
  • Must be able to sit for long periods using a computer in a typical office or home-office environment.

Nice to have

  • 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, clinically annotated, or real-world datasets, bioinformatics pipelines or platforms, and computational biology or AI/ML software.

Culture & Benefits

  • Fully remote work within the United States.
  • Monday–Friday schedule from 9:00 AM to 5:00 PM.
  • Independent work with collaboration across Data Business Development, Product Development, Marketing, regional Business Development, and the Data team.
  • Inclusive work environment committed to diversity.
  • Occasional representation of Champions at scientific conferences and events with limited travel.

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