For the given job description <<Do you want to join one of the fastest-growing molecular diagnostics companies to help transform prenatal and oncology diagnostics that can affect millions of patient lives?
BillionToOne, ranked at the top 5% of Y Combinator companies with $300M+ in funding from prominent VC firms, has developed a DNA molecular counter that increases cfDNA diagnostic resolution by over 1,000x. BillionToOne's first product, UNITY, is the first and only non-invasive prenatal test that can directly screen an unborn baby and assess its risk for common and severe recessive gene disorders and chromosomal abnormalities, as well as fetal sex and fetal antigens, from a single tube of blood from the pregnant mother without paternal testing.
In 2023, BillionToOne launched two liquid biopsy products that will markedly improve oncology treatment and care. With Northstar Select, clinicians will be able to select cancer therapies that will be most effective to each patient based on their individual genetic makeup. Northstar Response will enable clinicians to monitor a patients early response to these cancer therapies, by measuring minute changes in their ctDNA, which can reduce ineffective treatments and unwanted toxicity, lower costs, and substantially improve clinical outcomes.
We are currently looking for a Senior Software Engineer, Oncology to join our interdisciplinary oncology team. As a foundational member of the Oncology team, you will work closely with clinicians, scientists, computational biologists, and other engineers to help deliver world-class cancer diagnostics to oncologists and patients. If you thrive in a team setting, have an interest in biology and healthcare, have a knack for using technology to solve problems, and want to see your work push forward the cutting edge of cancer care, then this could be a dream job. This is a remote position, but you may also work from our office in Menlo Park or Union City, CA if youre locally-based.
Projects you might work on include:Developing data systems for classifying cancer genetics alternations and relevant treatment implications and clinical trials.Implementing an FDA-compliant laboratory information management system (LIMS) for robustly tracking specimens, reagents, and analyses throughout wetlab and drylab.Creating a convenient and easy to use web experience for physicians and patients receiving complex genomics information. Improving interoperability of EHR systems, especially with unstructured genetics information.
Technologies we use: Python, Django, Docker, Postgres, AWS, Terraform
Requirements:5+ years working with full-stack web technologies, data integration, andor data infrastructure.Values simplicity and pragmatism (you think radically but ship incrementally).Self-directed and comfortable working autonomously with peers across disciplines.Demonstrated interest in startups, biology, or healthcare.
Nice-to-haves:Experience working with computational biologists and other scientific or clinical disciplines strongly preferredDjango rest frameworkPrevious startup or entrepreneurial experience
Benefits And Perks:Working with a team of rockstars who bring out the best in everyoneOpen, transparent culture that includes weekly Town Hall meetingsThe ability to indirectly or directly change the lives of hundreds of thousand patientsMultiple medical benefit options; employee premiums paid 100% of select plans, dependents covered at 80%Extremely generous Family Bonding Leave for new parents (16 weeks, paid at 100%)Retirement savings program including a 4% Company matchA variety of perks on campus (state of the art gym, food delivery, EV charging)
At BillionToOne, we are proud to offer a combination of a (1) base pay range (actual amount offered is based on experience and salaryequity options split that the candidate chooses) (2) generous equity options offering, on top of (3) industry leading company benefits (free healthcare options, 401k match, very generous fully paid parental leave etc.). Please apply even if you dont meet every requirement, wed love to take a look at your profile! 
For this position, we offer a total compensation package of $265,000, including a base pay range of $180,000-$200,000 per year.
BillionToOne is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.>> the resume: <<SummaryHighly motivated Sales Associate with extensive customer service and sales experience. Outgoing sales professional with track record of driving increased sales, improving buying experience and elevating company profile with target market.
Professional ExperienceSoftware Engineer of IoT Cloud,05/2014toCurrentBelvedere Trading–Boulder,CO,ChinaI work on the Salesforce IoT Cloud, a massively scalable event processing engine for realtime engagement and analytics.My main focus is that design and implement clusters provision and management for IoT cloud.1. Provision and manage AWS and Heroku resource, heavily involving Cloudformation, EC2, Auto-scaling and ELB, etc.2. Deploy micro-services, manage versioning, upgrading IoT platform properly, scale up and scale down micro-services when necessary. Micro-services that we support use Kafka, Storm, Spark, Cassandra, Kubernetes and so on.3. Find the best practice to store sensitive and critical information, for example, auth token, client secret.4. Customize platform when business needs dynamically, involving Jessicatabase migration, kafka migration, Cloudformation infrastructure upJessicate.We are now co-hosting workloads across 10K customers, batch transforming ~100MM rows of user Jessicata Jessicaily and real-time ingests 7 TB of events Jessicaily, ~80 MB/s sustained.Software Engineer,02/2014to05/2014Locket–City,STATE,Locket is lock screen app that will display image, content based your interests. It was selected by Google as one of "Best apps of 2014".I was mainly focusing on backend development, including intelligent content generation and display.Machine Learning Developer (Intern),05/2013to08/2013British Broadcasting Corporation (BBC)–City,STATE,1. Developed a face detection and recognition program in Java, implementing machine learning algorithms,e.g., eigenfaces (PCA) and fisherfaces (LJessica);2. Applied text mining techniques to subtitles to assist the facial identification of actors in TV programs;3. Achieved up to 98% accuracy rate on stanJessicard face Jessicatabases, e.g., ORL.
EducationMaster of Science:Computational Statistics & Machine Learning,Expected in2013toUniversity College London-London,GPA:Bachelor of Science:Electronic Commerce Computing,Expected inJun 2010toUniversity of Liverpool-Liverpool,GPA:
Technical SkillsProgramming: Java, Python, JavascriptBuilding tool: Gradle, MavenOps related: Puppet, Ansible, Saltstack, Docker, Kubernetes, Jenkins, BashOthers: AWS, Hibernate, Postgres>>. The result is, Potential Fit

Fit assessment: Potential Fit