Software Engineer, Deepcell

Salary not provided

Junior, Mid and Senior level

San Francisco Bay Area

Office located in Menlo Park, CA

AI-powered deep cellular insights

Job no longer available

AI-powered deep cellular insights

21-100 employees

B2BArtificial IntelligenceDeep TechBiologyScienceBiotechnology

Job no longer available

Salary not provided

Junior, Mid and Senior level

San Francisco Bay Area

Office located in Menlo Park, CA

21-100 employees

B2BArtificial IntelligenceDeep TechBiologyScienceBiotechnology

Company mission

To enable novel biological insights at the single-cell level for improved diagnosis and treatment of disease.

Job

Company

Role

Who you are

Strong analytical and problem-solving skills
Strong experience with object-oriented design and principles
Writes high-quality, clean code
Computer Science degree or equivalent professional experience
Proficient in C#
Versed in software engineering best practices (version control, code review process, agile methodology, unit testing, etc.)
Strongly proficient in object oriented programming (OOP)

What the job involves

As a C# Software Engineer, you will play a key role in designing and developing the C# desktop application that powers our cutting-edge instruments
This software, which integrates hardware, biology, and artificial intelligence, is already in the hands of our customers and actively used by biologists every day to conduct groundbreaking research
In this role, your focus will be on ensuring the reliability, performance, and usability of the application, as it is critical to our users' daily work
You’ll enhance system capabilities by integrating new hardware and collaborate closely with our scientists to make the instrument smarter and more intuitive
Additionally, you will work to continuously refine and improve the architecture of a complex, real-world system, ensuring it remains robust and future-proof

Our take

Classically, cell morphology has been limited by human interpretation and a lack of tools for capturing and studying abnormal cells. Deepcell wants to change this, with its AI-powered cell classification and single-cell capturing and analysis, that helps advance precision medicine and provide novel insights into cell biology.

The better analysis of the biology of malignant cells could result in rapid progress for cancer research, as well as having a myriad of other applications. To achieve this better analysis, Deepcell has created technology that uses machine learning to classify cells based on visual features. This tech can be used for translational, diagnostic, and therapeutic research, and the company ultimately aims to modernize the field through high-performance computing and modernization of morphology for scale, interoperability, and usability.

Having achieved significant funding, as well as generating large amounts of interest from both businesses and experts in the field, Deepcell has already made a splash and is one to watch as it further develops and influences the adoption of AI in the biological research community.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Led by a woman

Top investors

9% employee growth in 12 months

Glassdoor (3.1)

Company

Funding (last 2 of 4 rounds)

Oct 2022

$80m

LATE VC

Mar 2022

$73m

SERIES B

Total funding: $178m

Company benefits

Equity options
Medical, Dental, and Vision
On-site Lunch and Snacks
Gym Reimbursement
Paid Time Off
Parental Leave

Company HQ

Suburban Park–Lorelei Manor–Flood Park Triangle, Menlo Park, CA

Leadership

Maddison Mahdokht Masaeli

(CEO )

Invented Deepcell’s AI-based, single-cell analysis and sorting technology with their postdoctoral advisor Euan Ashley and Mahyar Salek, and spun the company out of Stanford University in 2017. They have a multidisciplinary background with experience in electrical engineering, computer science, and bioengineering.

Mahyar Salek

(President & CTO)

Prior to founding Deepcell, they were the lead product manager at Google for offline measurements, which grew to multi-billion dollar revenue during their tenure. They also co-founded and developed Emotiful, one of the earliest apps to use deep learning which ranked at the top of several app stores and app data platforms.

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