Compensation: $120,000-$140,000 per year. You are eligible to a Short-Term Incentive Plan with the target at 7.5% of your annual earnings, terms and conditions apply.

AI/ML Data Scientist II -Remote, USA

This position is focused on applying advanced data science, AI, and machine learning techniques to solve complex research and business problems at the intersection of clinical genomics testing and computational biology. You will join a dynamic team that explores cutting-edge AI/ML techniques, including large language models (LLMs), to drive process modernizations and automations for business operations as well as R&D bioinformatics workflows. The primary focus of this role is on the development and implementation of AI/ML models to streamline business processes, improve efficiency, and drive innovation. While bioinformatics knowledge is beneficial, the core responsibilities center around data science and machine learning applications across diverse datasets.

Essential Functions

Design and implement advanced machine learning models, statistical methods, and predictive algorithms to address business and research challenges
Conduct exploratory data analysis (EDA), feature engineering, and data preprocessing to uncover insights, trends, and patterns in complex, large-scale datasets
Work with a cross-functional team to integrate machine learning and AI models into operational workflows, business systems, and research applications
Contribute to the development of automated tools and systems that support clinical, genomic, and other research applications, facilitating process improvements and decision-making
Leverage state-of-the-art AI/ML techniques, including large language models (LLMs), to automate documentation, data processing, and other key business functions
Collaborate with domain experts to understand the business and research objectives, translating them into scalable data science solutions
Other duties as assigned

Qualifications

PhD degree in Bioinformatics, Data Science, Machine Learning, Computer Science, Statistics, Biophysics, Computational Biology or a related discipline, with 2+ years of post-doctoral or industry experience.
Alternatively, MS degree in a related field with 4+ years of industry experience
Familiarity with bioinformatics concepts, molecular biology, and genomics is preferred, but not required.
Strong expertise in data science and AI/ML methodologies, including supervised and unsupervised learning, deep learning, and natural language processing (NLP)
Proficiency in Python, R, SQL, or similar programming languages used for data analysis and model development.
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, XGBoost).
Experience working with large language models (LLMs) and other advanced AI/ML models is a strong bonus.
Proficiency in statistical analysis, data visualization, and the use of relevant tools (e.g., pandas, NumPy, Matplotlib, Seaborn)
Familiarity with cloud-based services (AWS, GCP) and building end-to-end machine learning pipelines.
Excellent written and verbal communication skills with the ability to clearly present technical results to non-technical stakeholders
Ability to work both independently and collaboratively within multidisciplinary teams.
3+ years of experience in research or industry, applying data science and machine learning techniques to solve complex problems
Proven track record of building and deploying machine learning models in real-world applications
Experience in analyzing large and complex datasets, with a focus on data wrangling and feature engineering

Preferred

Experience with high-performance computing (HPC) and large-scale data processing frameworks (e.g., Spark, Dask) is a plus
Familiarity with bioinformatics tools and techniques (e.g., Illumina sequencing data, NGS pipelines) is preferred but not required
Familiarity with large-scale data platforms and cloud-based infrastructure (AWS, Azure, GCP) is a plus
Experience with language models (LLMs) is a strong bonus
Experience in working with clinical or biological data is preferred, but not mandatory

About Us:

Ambry Genetics Corporation is a CAP-accredited and CLIA-licensed molecular genetics laboratory based in Aliso Viejo, California. We are a genetics-based healthcare company that is dedicated to open scientific exchange so we can work together to understand and treat all human disease faster.

At Ambry, everyone is welcome. A career at Ambry Genetics is a chance to be part of a dynamic company that aims to improve health by understanding the relationships between genetics and human disease. We earned our reputation as industry leaders by responsibly introducing cutting-edge genetic testing solutions and continually sharing what we learn with the global scientific community.

At Ambry you will be learning, challenging yourself, and having fun while collaborating with teammates through the open exchange of ideas. Our outstanding benefits program includes medical, dental, vision, 401k with a 4% employer match, FSA, paid sick leave and generous paid time off (PTO) program. The Company reserves the right to make changes to the 401k plan from time to time. You can learn more about the benefits here. Ambry Genetics is an Equal Opportunity Employer (EOE) and we maintain a drug-free work environment.

The Company believes in second chance employment. Qualified applicants with arrest or conviction history will be considered regardless of their arrest or conviction history, consistent with local laws such as Los Angeles County Fair Chance Ordinance and the California Fair Chance Act. You do not need to disclose your criminal history or participate in a background check until a conditional job offer is made to you. After making a conditional offer and running a background check, if the Company is concerned about conviction that is directly related to the job, you will be given the chance to explain the circumstances surrounding the conviction, provide mitigating evidence, or challenge the accuracy of the background report. For the purpose of the above job description, “Essential Functions” are “Material Job Duties”.

Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

All qualified applicants will receive consideration for employment without regard to race (and traits historically associated with race, including, but not limited to hair texture and protective hairstyles such as braids, locks, and twists), color, creed, religion, sex, sexual orientation, gender identity, gender expression (including transgender status), national origin, ancestry, age, marital status or protected veteran status and will not be discriminated against on the basis of disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances. If you have a disability or special need that requires accommodation, please contact us at careers@ambrygen.com

Ambry does not accept unsolicited resumes from individual recruiters, third party recruiting agencies, outside recruiters or firms without an executed contract in place. We are not responsible for any fees related to resumes that are unsolicited or are received by Ambry. Such resumes will be deemed the sole property of Ambry and will be processed accordingly.

PRIVACY NOTICES

To review Ambry’s Privacy Notice, Click here: https://www.ambrygen.com/legal/privacy-policy

To review the California privacy notice, click here: California Privacy Notice | Ambry Genetics

To review the UKG privacy notice, click here: California Privacy Notice | UKG

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AI/ML Data Scientist II- Remote, USA

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