02 Sep Senior Windows Software Engineer
With pioneering software that doubles lab productivity while increasing the value and integrity of crucial scientific data, Studylog serves fast-growing biotech startups and some of the largest pharmaceutical companies in the world. Our customers are literally “curing cancer” and developing breakthrough vaccines for Covid-19.
We are seeking a seasoned Windows developer to maintain and extend our flagship product. You will bring curiosity, craft, and a love of helping customers do their best work.
This is a full-time role. Studylog and many of our team members are based in the San Francisco Bay Area, but we will also consider exceptional remote candidates. Unfortunately, we are not able to offer relocation or H1-B Visa assistance at this time.
- 5+ years software development experience
- Excellent in C#, .NET, OOP and SQL
- Skilled in database management and maintenance
- Outstanding diagnostic approach and determination
- Experience developing data-rich applications, including managing large datasets and applying mathematical transformations
- Penchant for clean coding and documentation (not documentation for documentation’s sake, but for quality and sanity)
- DevExpress experience is a bonus
Studylog Systems was founded in 2003 in South San Francisco by pre-clinical researchers and IT professionals. The company is driven by one purpose: to help get life-saving treatments to patients faster by making pre-clinical research more efficient. Our collaborative, customer-centric approach has enabled us to create and evolve the best animal study workflow products in the world. Today, many of the world’s leading pharmaceutical, biotechnology, academic and government labs, in dozens of countries, use Studylog.
Studylog Animal Study Workflow Software is designed to flexibly conduct and manage studies in virtually any disease area, such as inflammation, oncology, infection, metabolism, surgical models, behavior/neuroscience, vaccines, and others. Studylog saves researchers precious time, money and effort, while ensuring data integrity & security in a database for future access and use. On average, labs tell us they can double their study throughput with the same or less effort while preserving their detailed methods & results in perpetuity.
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