At Genapsys we are working to transform the human condition by building an affordable, scalable genomic ecosystem that empowers research and diagnostics. Powered by semiconductor chip-based electronic sequencing technology, our platform will be a modular and accessible system that will enable highly accurate, scalable, and affordable sequencing for a variety of applications. We believe in a world where every researcher and clinician can perform their sequencing on-site, enabling easy and rapid access to actionable insights based on genomic data.  Join us and let’s work together to unlock universal access to genomic sequencing.

About the Role: 

Machine learning approaches are at the core of GenapSys' methods for generating high quality DNA sequencing data. As a machine learning engineer, you will join forces in the development of cutting-edge machine learning methods that solve key problems in the DNA sequencing, base calling, and variant calling processes. You will work closely with a cross-functional team of life scientists, bioengineers, software engineers and data scientists to identify areas where machine learning can make a difference, to conceptualize and develop biological datasets using cutting edge, high throughput platforms, and to analyze these data sets using the best machine learning methods, applied at scale.

 

Candidates working remotely in the US, as well as those local to Redwood City, CA, are encouraged to apply. 

Responsibilities:

  • Hands-on development of Deep Learning models, various Neural Network concepts, and classification algorithms. Apply troubleshooting and problem-solving skills to complex issues.
  • Write high-quality, production-ready Python code (version controlled, readable, efficient, well-tested, well documented, with well-designed APIs). 
  • Perform extensive deep dive error profiling to measure, characterize, and find the root cause of errors, communicate the findings to other functional teams effectively and find innovative solutions to eliminate errors
  • Coordinate activities within the Machine Learning team to maintain transparency, high efficiency, and accountability; report progress and results upwards periodically.
  • Develop topic descriptions for creative and innovative approaches to solving challenges
  • Drive planning and prioritization meetings with various stakeholders and cross-functional teams
  • Carry out methodical and systematic experiments to test hypotheses with carefully chosen controls and hold regular technical data review meetings to discuss results and provide insight to cross functional teams
  • Work effectively both as a team player and independently within a multidisciplinary organization and manage the work within tight timelines.

Qualifications:

  • Ph.D. degree or equivalent experience in Machine Learning with a background in Electrical Engineering Signal Processing, Computer Science, Statistics, Mathematics, Physics, or equivalent fields.
  • 1-2  years of real-world industry work experience in software development and deployment of high-end machine learning algorithms specifically CNNs, RNNs, and autoencoders
  • Significant experience in Tensorflow, TensorRT, Keras, and a working knowledge of existing deep learning libraries (e.g., CUDA, Caffe, Theano, Torch, Nvidia Digits)
  • Proficiency in Python, ability to write high-quality, production-ready code (readable, well-tested, well documented, with well-designed APIs). 
  • Proficiency in common data science libraries in Python such as Numpy, Scipy, Pandas, Sklearn, … Proficiency in vectorized programming with Numpy.
  • Experienced in Git/Github version controlling in collaborative environments (cloning and forking repositories, creating and updating branches, commit, push, merge, and rebase, creating and reviewing pull requests, etc.)
  • Experience in building automated development pipelines and CI/CD
  • Experience in signal processing and anomaly detection working with (biological) time series data, such as EEG/ECG signal 
  • Experience developing, training, profiling, and deploying deep neural networks or other complex non-linear machine learning and inference pipelines. 
  • Knowledge of state-of-the-art methods with creativity and intelligence to advance beyond them
  • Experience with scalable machine learning, including the application to large datasets.
  • Detail oriented, innovative, results-oriented and methodical with a successful track record.
  • Strong team player who is flexible, adaptable, dependable, can communicate effectively and collaborate within a multidisciplinary organization while being a self starter and driver with the ability to work independently and manage the work within tight timelines.
  • Track record of relevant publications in peer-reviewed conferences and journals

Desired Qualities:  

  • Experience with genomics and next generation sequencing 
  • Skilled in large scale data analysis and characterization of physical systems, modeling, simulation and dynamical system validation.
  • Proficiency in Linux environment (including shell scripting), experience with database languages.
  • Familiarity with cloud computing services (AWS or GCP).
  • Expert in implementing clustering and pattern recognition algorithms, such as PCA, SVM, KMeans, Markov models, etc.

What we offer (US based-employees):

  • Competitive compensation and generous stock options.
  • Comprehensive, industry-leading medical, dental and vision benefits for employees and dependents.
  • Pre-tax savings plans for health care, child care, elder care, public transportation and parking expenses.
  • 401(k) retirement plan with matching employer contribution.
  • Free daily catered gourmet lunches and snacks.
  • For those emergency moments - long and short term disability, life insurance (2x salary) and an employee assistance program.
  • Work with driven and enthusiastic colleagues in a fast-paced and entrepreneurial environment, the opportunity to work on problems that matter in a highly collaborative environment.

The anticipated starting base pay for this position is: $100,000 to $175,000 per year.

Compensation for this role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, experience and geographic location, and may fall outside of the range shown. Genapsys offers a competitive total rewards package, which includes a 401k match, healthcare coverage, paid time off, holiday pay and a broad range of other benefits.


A diverse and inclusive workplace where we learn from each other is an integral part of Genapsys' culture. We actively welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a great place to work. Join us and help us achieve our mission!


Genapsys has a robust COVID-19 prevention plan in order to keep our team members as safe as possible. This plan includes a requirement that all employees, contractors and visitors are fully vaccinated against COVID-19 (or receive an approved medical or religious exemption) prior to working on site at any Genapsys location. Please contact hr@genapsys.com if you have any questions. 

Apply for this Job

* Required

  
  
When autocomplete results are available use up and down arrows to review
+ Add Another Education


U.S. Equal Opportunity Employment Information (Completion is voluntary)

Individuals seeking employment at Genapsys, Inc. are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. You are being given the opportunity to provide the following information in order to help us comply with federal and state Equal Employment Opportunity/Affirmative Action record keeping, reporting, and other legal requirements.

Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

Race & Ethnicity Definitions

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.


Form CC-305

OMB Control Number 1250-0005

Expires 05/31/2023

Voluntary Self-Identification of Disability

Why are you being asked to complete this form?

We are a federal contractor or subcontractor required by law to provide equal employment opportunity to qualified people with disabilities. We are also required to measure our progress toward having at least 7% of our workforce be individuals with disabilities. To do this, we must ask applicants and employees if they have a disability or have ever had a disability. Because a person may become disabled at any time, we ask all of our employees to update their information at least every five years.

Identifying yourself as an individual with a disability is voluntary, and we hope that you will choose to do so. Your answer will be maintained confidentially and not be seen by selecting officials or anyone else involved in making personnel decisions. Completing the form will not negatively impact you in any way, regardless of whether you have self-identified in the past. For more information about this form or the equal employment obligations of federal contractors under Section 503 of the Rehabilitation Act, visit the U.S. Department of Labor’s Office of Federal Contract Compliance Programs (OFCCP) website at www.dol.gov/ofccp.

How do you know if you have a disability?

You are considered to have a disability if you have a physical or mental impairment or medical condition that substantially limits a major life activity, or if you have a history or record of such an impairment or medical condition.

Disabilities include, but are not limited to:

  • Autism
  • Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis, or HIV/AIDS
  • Blind or low vision
  • Cancer
  • Cardiovascular or heart disease
  • Celiac disease
  • Cerebral palsy
  • Deaf or hard of hearing
  • Depression or anxiety
  • Diabetes
  • Epilepsy
  • Gastrointestinal disorders, for example, Crohn's Disease, or irritable bowel syndrome
  • Intellectual disability
  • Missing limbs or partially missing limbs
  • Nervous system condition for example, migraine headaches, Parkinson’s disease, or Multiple sclerosis (MS)
  • Psychiatric condition, for example, bipolar disorder, schizophrenia, PTSD, or major depression

1Section 503 of the Rehabilitation Act of 1973, as amended. For more information about this form or the equal employment obligations of Federal contractors, visit the U.S. Department of Labor's Office of Federal Contract Compliance Programs (OFCCP) website at www.dol.gov/ofccp.

PUBLIC BURDEN STATEMENT: According to the Paperwork Reduction Act of 1995 no persons are required to respond to a collection of information unless such collection displays a valid OMB control number. This survey should take about 5 minutes to complete.