Data Scientist

<h3>📋 Description</h3> • At Parallel Bio, we are using the immune system to unlock safer, more effective drugs. • By creating access to genuine human biology in a diverse, reproducible, and scalable way we’re changing the way researchers find, test, refine, and deliver these life-changing therapies. • The human immune system is the master regulator of health and disease in our bodies. • Current tools used to discover drugs that target the immune system are wildly inadequate. • To fix this critical gap, Parallel Bio created a human ‘immune system in a dish’ to rapidly accelerate the development of new drugs and immunotherapies more likely to work in patients. • This means developing drugs that are known to safely work in humans before the first patient receives the first dose and an end to needlessly destroying millions of lab animals in the pursuit of human health. • By blending this biological innovation with the latest in high-throughput lab automation and integrated data capture & analysis, we’re creating a new type of biotech – one that brings the advantages of cloud computing to next-generation wet lab studies. • As a Data Scientist at Parallel Bio, you will play a crucial role embedded within our tech team, primarily serving our science team. • You'll accelerate our understanding of complex biological datasets, develop robust analytical pipelines, and effectively communicate insights to drive our drug discovery efforts. <h3>🎯 Requirements</h3> • Degree: A PhD or Masters in a quantitative field (e.g., Mathematics, Statistics, Physics, Computer Science, Engineering) • Programming: Fluency in Python for data science and demonstrated strong programming ability. • Data Analysis Experience and Tooling: Strong data analysis skills and familiarity with statistical software and api-based data sources • Modeling: Understanding of fundamental modeling techniques (e.g., regression, classification, clustering, time series analysis, deep learning concepts). • Cloud & Software: Familiarity with cloud computing services (e.g., AWS) and knowledge of software development principles is a plus. • A strong background in biology, specifically immunology, gained through formal education or extensive practical experience. • Some knowledge of bioinformatics is required. • Experience working on challenging biological problems and with biological datasets is a plus. • Interest in immunology and modeling complex diseases. • Experience with drug discovery platforms is a plus. • Strong attention to detail and ability to follow experimental protocols precisely. • Ability to multitask and manage time efficiently in a fast-paced research environment. • Strong problem-solving skills and willingness to iterate on experimental challenges. • High personal standards and an excellent track record of driving projects to completion. • Comfort and demonstrated ability to thrive in a fast-moving, high-growth startup environment with shifting priorities. • Strong communication skills. We are building a cross-functional team, so excellent communication and a deep desire to learn from others is key. • Ability to clearly explain complex data insights to both technical and non-technical stakeholders. • Curiosity and a natural inclination to ask questions and follow data to generate hypotheses. • A quick learner with a strong "wheels turning" mindset. <h3>🏖️ Benefits</h3> • Pushing forward the understanding of how the immune system functions with real-world experimentation. • Helping create new experimental methods that can be repeated and varied from the keyboard instead of the bench. • Learning modern data & software practices - techniques considered beyond the cutting-edge in biotech. • Creating experiments where copies of the same organism can be held constant - either for varied treatments or repeated across replicants to drive down scientific uncertainty. • Access to diverse populations varied by sex, age, race, medical history can be used repeatedly and repeatably. • Work a problem with clear benefits for humanity. This is work worth doing. • Bring modern software and data practices to biotech, an industry still catching up on 15 years of big data tech evolution. • The breadth of our systems is breath-taking: from low-level robotics programming to data science & visualization to AI models of immune response and everything in-between. As a small team we tend to work across these areas rather than be siloed into one of them. • Software is a first-class product concern at Parallel Bio, not a cost-center / service organization. We operate wet labs but we ship data-as-a-product. • Playing a key role in enabling the seamless functioning of a pioneering biotech company driving groundbreaking drug discovery. • Supporting visionary leaders whose work is reshaping how therapies are developed and delivered to patients. • Collaborating with a multidisciplinary team at the forefront of science, technology, and innovation. • Gaining insight into the unique challenges and opportunities of scaling a high-impact startup. • Contributing to a mission-driven organization focused on creating safer, more effective drugs and transforming the future of human health.