Harvard Innovation Labs Stealth Startup
Internships & Full-Time Opportunities
Overview:
A Harvard Innovation Labs stealth startup is offering paid (1) Research, (2) Business Development, (3) Computational Biology, (4) Software Engineering, (5) Operations, (6) Campus Ambassador, (7) Executive Assistant, and (8) Chief of Staff internship and full-time opportunities to PhD, MD, MS and exceptional undergraduate students, clinical trainees and recent graduates.
Further Information:
(1) Researchers will focus on experimental design and execution, patent drafting, scientific assessment of proteins and pathways of interest, conducting literature reviews and prioritizing targets and assets. (2) Business Development team members will partake in activities related to funding and partnerships, including preparing materials and analyses for government, academic, philanthropic and venture-based grants as well as due diligence. (3) Computational Biologists will design and implement efficient algorithms to analyze high-dimensional biological datasets and advance data curation efforts. (4) Software Engineers will develop, maintain, and optimize applications and tools to advance research and business objectives. (5) Operations team members will support various functional aspects of the company, executing core business objectives, streamlining processes and supporting organizational efficiency. (6) Campus Ambassadors will spearhead campus engagement efforts and support recruiting initiatives through strategic outreach, relationship building and promotion. (7) Executive Assistants will provide administrative assistance to the CEO and senior executives, managing appointments and maintaining accurate records and documentation. A (8) Chief of Staff will work closely with the CEO to drive strategic priorities, coordinate cross-functional initiatives, manage key projects and communications, and ensure organisational alignment and execution across the company.
The positions offer a great opportunity to get hands-on experience in biotech company building and drug discovery. Interns and full-time hires will be provided with a highly competitive salary, equity and the option to work remotely. Full-time hires will be provided with a generous benefits package, including healthcare and paid time off. Internship positions will require approximately 5-10 hours of work per week for a duration of 3 months, with an option for extension and promotion for exceptional performers.
Qualifications/Requirements:
• Must be a graduate student (PhD, MD, MS), outstanding undergraduate student, clinical trainee or recent graduate at or from a top institution; prior work or research experience is preferred.
• Strong scientific or business acumen and curiosity, with the ability to navigate or support the advancement of biomedical fields including gene therapy and molecular and cell biology. A basic understanding of the drug discovery process is helpful, but not required.
• Excellent communication and writing skills, with proficiency in Microsoft Word and Excel. Resourceful, proactive, independent and able to function at a high level with intermittent supervision, possessing meticulous attention to detail and organisation.
• For Computational Biologists: Proficiency with algorithm development and statistical analysis.
• For Software Engineers: Facility in developing and deploying complex software applications.
About the Company:
The company is developing a novel therapeutics platform for an array of monogenic and common diseases. Work to date has been funded by the Harvard Innovation Labs, the Massachusetts Institute of Technology, the Francis Crick Institute, Innovate UK, the European Partnership for Personalised Medicine and a number of U.S. venture capital funds, including Pillar VC, BlueYard Capital and Harvard’s Allston Venture Fund, a venture collective of Bain Capital, General Catalyst, Polaris Partners, Highland Capital, Underscore VC and GETTYLAB.
Application Submission:
All applicants should use the following link to apply:
https://form.typeform.com/to/neHqe4I2?r=im
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