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Job details

Full Stack Software Engineer

Please note, the role is remote and candidates should be based in Poland.

The Opportunity

At insitro, we are shaping the future of drug discovery by combining human biology and machine learning to discover new therapeutics. At the heart of our strategy is the true partnership between various disciplines and expertises to produce large and high quality data sets that will drive machine learning and yield key biological insights. You will be joining the first satellite insitro hub that’s emerging in Poland. This role will be based “remote”, and you may work from your home office. You’ll be working in a highly collaborative and dynamic research environment of a biotech startup, where we aim to advance the rate of scientific discovery using purposefully built solutions. You will work closely with a very talented team of distinguished scientists and engineers. We offer both long-term stability thanks to significant funding, but also a mentality and work style of an early stage startup. Therefore, you will directly contribute to shaping insitro’s culture, strategic direction, and outcomes, with many opportunities for significant and diverse impact across several functions and disciplines. This is an exciting time to join us in leading the way to better medicines, with the integration of computer science, machine learning and biology at scale. Come join us, and help make a difference to patients!

The Role

Data Engineering plays an essential role in insitro’s approach to rethinking drug development, shaping the foundations of a truly data-driven and integrated drug discovery approach.We are seeking talented and highly motivated software engineers to join our newly formed, remote engineering office in Poland.

As a software engineer in the team, you will:

Work closely with a team of cross-functional scientists and software engineers to identify challenges and find solutions to improve our lab data applications and integrations.

Design and implement a rigorous and scalable landscape of applications and data processing pipelines that interact with high throughput biology automation platforms, with performance and scale in mind.

Design, implement and maintain scalable backends and intuitive frontends for capturing, extracting, integrating and analyzing large volumes of scientific and lab operational data such as high-content microscopy and sequencing data. Build tools and pipelines to automate the end-to-end lifecycle of Machine Learning applications.

Get exposed to fascinating science and contribute to building state-of-the-art machine learning infrastructure to advance our expertise in biology and disease modeling.

Evaluate new technologies, practices and vendors that could increase scientific capabilities and/or efficiencies.

Ensure that solutions fit appropriately into our information ecosystem and ensure the integrity of insitro’s data architecture.

About You

In building our team, we look for people who share the collaborative, rigorous and scientific spirit of our culture. The successful candidate will possess:

BS, MS, or Ph.D. in computer science, statistics, mathematics, physics, engineering, or equivalent practical experience

Passion for solving complex technical problems and building durable and efficient software architectures

Ability to communicate effectively and collaborate with people of diverse backgrounds and job functions

Demonstrated ability to write high-quality, production-ready code (readable, well-tested, with well-designed APIs) in one of general-purpose programming languages (such as Python, Java, Scala, C/C++, or Go)

Curiosity to learn our current tech stack, which includes Python, Django, React, TypeScript, PostgreSQL, Docker, all running within AWS infrastructure

Experience in all aspects of the software development process, including requirements gathering, architecture, design, implementation, release, and maintenance

Experience working with large datasets (100TB+), ETL pipelines, and data warehousesBiology background is not required

Nice to Have

Experience working with lab and scientist stakeholders in a health tech or genomics fieldExperience building automation and tools for Machine Learning applications (MLOps)

Experience architecting or implementing a high-throughput Laboratory Information Management System (LIMS)

Demonstrated ability to develop novel data engineering methods that go beyond applying existing frameworks and patterns, and to apply problem-solving skills to address complex challenges

Experience with Agile Scrum software development methodologiesFamiliarity with cloud computing services (AWS or GCP)

Familiarity with web services and application frameworks (Django, Flask)

Benefits at insitro

Highly competitive salary

Health insurance benefits

Gym allowance

Flexible work schedule

Home office equipment

GDPR

The Controller of your personal data is Insitro, Inc., with offices at 279 East Grand Avenue, South San Francisco, California, United States. Your personal data is processed for the purposes of the current recruitment process. Providing your personal data is voluntary, but its processing and transfer to the United States by or on behalf of Insitro, Inc. is necessary for this purpose. You have the right to access, correct, modify, update, rectify, and request the transfer or deletion of your personal data.

You hereby consent to Insitro, Inc., with offices at 279 East Grand Avenue, South San Francisco, California, United States, retaining and processing your personal data after the current recruitment process is finished, for the purposes of future recruitment processes. You have the right to withdraw this consent at any time by sending a notification to recruiting@insitro.com.

About insitro

insitro is a data-driven drug discovery and development company using machine learning and data at scale to transform the way that drugs are discovered and developed for patients. insitro is developing predictive machine learning models to discover underlying biologic state based on human cohort data and in-house generated cellular data at scale. These predictive models can be brought to bear on key bottlenecks in pharmaceutical R&D to advance novel targets and patient biomarkers, design therapeutics, and inform clinical strategy. insitro is advancing a wholly owned and partnered pipeline of biologic insights and molecules in neuroscience and metabolic diseases. Since formation in mid 2018, insitro has raised over $700 million from top tech, biotech, and crossover investors and from collaborations with pharmaceutical partners. For more information on insitro, please visit the company’s website at www.insitro.com.

insitro Glassdoor Company Review

3.8