Operations Associate

About Probably Genetic Probably Genetic is changing the lives of patients living with severe, complex diseases. Our data platform is used by drug developers and patient advocacy groups to develop and launch treatments for these patients. Our technology discovers undiagnosed patients online, analyzes their disease state using machine learning and at-home testing, and enables compliant communication with patients. In doing so, we help patients access diagnoses, clinical trials, and treatments as early as possible. We are a tight-knit group of hard-working, ambitious problem solvers united by a mission greater than ourselves. We do well by doing right by patients. Our annually recurring revenue is growing >6x year over year, we’re profitable, and our roadmap is packed with innovations in bioinformatics, machine learning, and drug development. We are building an all-star team to help us bring our vision to life, and we want you to be a part of it. Probably Genetic has raised multiple rounds of funding from Silicon Valley’s best investors, including Threshold, Khosla, and Y Combinator, giving us the ability to pay competitive salaries, offer great benefits, and provide meaningful equity. We’re dedicated to ensuring your journey with us is unforgettable, with incredible team retreats to places like Barbados, the Alps, Mexico, Costa Rica, and Portugal, just to name a few. About the role We are looking for an Operations Associate who will own and run our programs with our biopharma customers. This role will report directly to the executive running our growth function. What you will do Manage our complex patient acquisition and clinical testing funnel, forecast volumes, analyze insufficiencies, and track and own key performance indicators across all stages of the product Run our biopharma programs and own key customer metrics Respond to biopharma customer requests and develop custom analyses of our data Collaborate with the Growth team to build and implement strategies for finding patients Work closely with our product and engineering teams to ensure we build what our customers need Who you are What will help you succeed in this role: 2+ years of experience running data-centric programs, e.g., in an operations role at a fast-growing technology startup or in management consulting Expert at creating slide decks, customer presentations, and other client-facing materials Undergraduate degree in a STEM field, ideally with a focus on biology, genetics, or life sciences Some things that are not required, but you will learn on the job: Knowledge of and experience in life sciences or healthcare industry Managing relationships with senior executives at top tier biopharma companies Steering multi-million dollar budgets for complex machine learning and genetics programs Running large scale paid and organic growth marketing campaigns As with all new hires at Probably Genetic, you will also need to be: A good person. We work with some of the most marginalized populations on the planet and empathy is key Patient-focused and motivated to have a lasting, positive impact on humanity Comfortable in a fast-paced, often ambiguous environment with rapid change Action-oriented and excited to build a company from the ground up The salary range for this role is $80,000-$144,000 annually. Actual compensation offered will depend on several factors including but not limited to: work experience, education, skill level, and/or other business and organizational needs. What we offer at Probably Genetic: An engaging and supportive team 30 days of vacation a year Hybrid, flexible work A “work from anywhere” policy, up to 4 weeks a year Competitive equity grants All-expenses paid quarterly team retreats Benefits including medical and dental This is a hybrid role that will require working on-site 3 days a week in San Francisco. Local candidates only. Relocation is not offered for this role. Probably Genetic is committed to fostering a welcoming and inclusive work environment for people of all genders, sexuality, ethnicity, socioeconomic background and life experiences. We urge candidates of all backgrounds to apply. If you require specific accommodations as you interview or consider working with us, please let us know.