Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Мало
$60к-70к/год
$55к$65кмедиана$77к
По похожим ролям (49) ~ $65к/год
На СНГ рынке: $1.5к/мес ($947 - $1.8к)
76
Хорошая вакансия
развернуть
Обязанности описаны чётко, а работа даёт хороший вход в сферу онкологических данных и ИИ в биотехе. При этом зарплата ниже рыночной медианы, а роль сочетает планы продаж с научным поиском и анализом данных.
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Ниже медианыПонятные задачиПерспективная сфераШирокий профиль
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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