Senior Software Engineer, Insitro
$161.6-181k
+ Annual Performance Bonus Plan
Machine learning drug discovery & development
Job no longer available
Machine learning drug discovery & development
201-500 employees
Job no longer available
$161.6-181k
+ Annual Performance Bonus Plan
201-500 employees
Company mission
To bring better drugs faster to the patients who can benefit most, through machine learning and data at scale.
Role
Who you are
- Must have a Bachelor’s degree in Computer Science or a related field plus three (3) years of experience in a related occupation
- Must also have three (3) years of experience in software development using Python and the scientific programming ecosystem including numpy, pandas, and scipy
- Three (3) years of experience in writing and maintaining data & machine learning pipelines for processing and analyzing large-scale biological datasets such as single-cell RNA-seq, microscopy image data, or genomics using workflow orchestration tools such as Redun
- Three (3) years of experience in leveraging data engineering solutions such as relational databases and storage formats such as FASTQ, VCT, or H5AD
- Three (3) years of experience with DevOps practices
- Implementing CI/CD solutions with tools including pytest, GitHub Actions, and AWS CodeBuild
- Using containerization tools including Docker; developing on cloud platforms including AWS or Azure
- Three (3) years of experience with MLOps practices: using model training libraries such as PyTorch, JAX, or Lightning
- Using publishing tools such as Hugging Face or Weights & Biases, and deploying to production environments with frameworks such as Kubernetes
What the job involves
- Designing and architecting infrastructure solutions for our petabyte-scale cellular data platform by defining technical specifications for system architectures, leading design reviews
- Leading cross-functional product development and strategic planning by shaping product vision in collaboration with therapeutic area stakeholders and research scientists
- Designing and deploying MLOps infrastructure and model deployment frameworks for both batch processing workflows and real-time API-based online services
- Conducting engineering mentorship by providing technical guidance, conducting technical interviews, and driving adoption of software best practices
- Provisioning and optimizing cloud infrastructure using infrastructure-as-code
- Providing technical support through on-call firefighting rotations, involving monitoring and responding to production incidents
Our take
The synthetic biology market is rapidly growing, projected to increase from $10.7B in 2021 to over $74.7B by 2031. This growth is fueled by advances in biotechnology and expanding applications in healthcare, agriculture, and energy.
With these rapid advancements, insitro is seizing the opportunity to lead the way. The company is transforming drug discovery by combining machine learning with high-throughput biology. By using AI, insitro aims to overcome the bottlenecks of traditional methods, driving down costs and enabling the development of more effective treatments.
To help it on its mission, insitro secured strategic agreements in 2024 with Eli Lilly for metabolic disease treatments, and it also expanded its leadership in AI/ML. With this, the company is surely set to accelerate drug development, promising a future of faster and more effective treatments for patients.
Freddie
Company Specialist at Welcome to the Jungle
Insights
28% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Mar 2021
$400m
SERIES C
May 2020
$143m
SERIES B
Total funding: $643m
Company benefits
- Complete Healthcare Coverage: Take your health seriously without worrying about the costs. insitro offers comprehensive coverage with low premiums for you and your family
- Wellness Benefits: Prioritize your well-being beyond medical care. insitro offers a comprehensive range of benefits tailored to support all aspects of wellness
- Mental Health Support: Our generous healthcare plans include access to digital mental health platforms with a range of services for you and your loved ones
- Supportive Time Off Policies: Flexible vacation time, generous paid parental and bereavement leaves, and a year-end shutdown week
- Support for Hybrid Work: Balance work and your personal commitments with in-person, hybrid and remote options based on the team and role. We support you with home office setup reimbursement as well as co-work space stipends for remote workers
- Formal Learning and Training Programs: Partake in formal programs to help you grow and develop, from day 1 onboarding to new manager training to our annual, in vivo week
- Self Development: Annual personal budget for books, external training, and conferences that nurture you professional passions and development interests
- Access to Knowledge Leaders: Engage with in-house and visiting scholars and experts throughout the year at special events designed exclusively for insitrocytes
- Extensive HQ Benefits: Our insitro HQ offers free daily meals via an onsite cafe and coffee shop, a free fitness facility, an onsite childcare center, and free commuter shuttle buses
- Social Connection: get to know your colleagues at our weekly HQ happy hours, celebrations for special cultural events, and casual meet-ups for sports, music, outdoor activities, and more
Company HQ
The East Side, South San Francisco, CA
Leadership
Daphne Koller
(Founder & CEO)Co-founder of engageli and previously Coursera. They also spent a year at CalicoLabs as the Chief Computing Ofificer and over 18 years at Stanford University as a Professor.
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