Business Development Representative

May 21

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Lifebit

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Revolutionising genomics & bioinformatics: unified research over distributed big data powered by AI.

Software • Data Analysis • Genomics • High Performance Computing (HPC) • Cloud Computing

51 - 200

💰 $60M Series B on 2021-09

Description

• Partner with our sales team to help generate meetings and develop a pipeline of prospects • Profile accounts to help define appropriate expansion strategies • Reach out to new trials/users within customers to drive more revenue • Work with marketing on executing campaigns • You will master the art of discovery, and inspire new use cases where Lifebit can solve our customer’s challenges. • Be a key component in ensuring we have accurate data in our CRM to drive the strategy for our future growth • Use a variety of methods (Email, phone, social media) to engage prospects, users and decision makers

Requirements

• Bachelors Degree from a university preferably in Engineering, Business, Healthcare or Marketing • Experience in a fast-paced, dynamic environment • 1+ years of experience in sales, preferably in the pharmaceutical or technology sector • Experience prospecting into large enterprise accounts preferable • Excellent verbal and written communication skills • You have the ability to grow rapport and relationships with potential clients • You have a great attitude that can maneuver through ambiguity and the ability to work and collaborate with a growing team • You are curious: always looking for an opportunity to learn, grow and give/receive feedback • You are a results-oriented individual who is excited by the prospect of fueling the continued growth and success of Lifebit by growing our sales pipeline. You have a “can do” attitude and are relentless in pursuing goals and solving problems

Benefits

• Competitive salary • 15-25 days of annual leave plus the usual public holidays • £1,000 per year personal budget for professional development ie conferences, events, and training resources • An international and diverse team • Exposure to problems and applications in the cloud, data analysis, ML, life sciences, and big data fields • Flexibility for remote work