Veracyte

Diagnostics

DataScientistIII-Temporary

$70–86k Canada CONTRACT Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Data Scientist III - Temporary at Veracyte. Skills: AI/ML modelling, statistical analysis, survival modelling, SQL, R, ETL. AI/ML modelling and analysis of the world’s largest database of cancer patients, encompassing multi-platform digital pathology, genomic and clinical outcome data. analyze millions of records of real-world insurance claims and EHR data to define clinical treatments and outcomes”

What You'll Achieve.

transforming cancer care for patients across the globe; give clinicians the insights they need to help patients make life-changing decisions; convert data into meaningful insights and stories; define clinical treatments and outcomes; identify patterns for various clinical and business cases; identify key clinical events; visualize findings from the data and summarize them in a coherent story; empower clinicians with the high-value insights they need to guide and assure patients at pivotal moments in the race to diagnose and treat cancer; deliver high-performing cancer tests that are fueled by broad genomic and clinical data, deep bioinformatic and AI capabilities, and a powerful evidence-generation engine, which ultimately drives durable reimbursement and guideline inclusion for our tests, along with new insights to support continued innovation and pipeline development

Industry & Context.

Diagnostics
Problems you'll solve

problem-solving skills

What They're Looking For.

Must Have

PhD in Statistics, Data Science, or equivalent field. Or Master of 4+ years of relevant post-graduate experience, Experience in working with real-world data of insurance claims and EHR records, Expert in SQL, R or equivalent skills with data clean-up, manipulation and visualization using tidyverse, ggplot in R or equivalent, Proficient in statistical analysis, especially in survival modelling and hypothesis testing (i. e. , multivariate regression modelling with interaction effects), Experience working in cloud computing environments (AWS preferred), Demonstrated proficiency and attention to detail in summarizing and communicating findings from data, Ability to work effectively in a fast-paced and collaborative environment, Eagerness to learn new technologies and adapt to evolving requirements

Nice to Have

Experience with cloud platforms (e.g., AWS, Azure, Google Cloud Platform) is desirable, Knowledge of basic bioinformatics, genomics, and cancer biology, Past research experience in urological oncology, bioinformatics, digital pathology, or relevant fields, Research experience with developing AI models such as LLM, vision/time series foundation models, track record of publishing in both clinical and technical peer-review journals or conferences is highly desired

What You'll Do.

AI/ML modelling and analysis of the world’s largest database of cancer patients

encompassing multi-platform digital pathology

genomic and clinical outcome data

analyze millions of records of real-world insurance claims and EHR data to define clinical treatments and outcomes

state-of-art data extraction

transformation and loading (ETL)

statistical analysis to convert data into meaningful insights and stories

communicate and understand business needs

identify relevant data

process and analyze data accordingly

academic writing and prepare data/figures for manuscript

design graphics to explain AI models with known clinical or genomic features

Analyze real-world data to identify patterns for various clinical and business cases

including treatment patterns and management costs

Participate in Identifying key clinical events

such as cancer progression and treatments

and structured database free text

Conduct statistical analysis and survival modeling for clinical events defined from real-world data

visualize findings from the data and summarize them in a coherent story

Support data scientists in developing digital pathology AI models

How You'll Work.

Team & Collaboration

Partner closely with bioinformaticians, statisticians, and medical experts in manuscripts; work effectively in a fast-paced and collaborative environment; engage with empathy; align around what's best for Veracyte; celebrate as one team

Communication Scope

communicate and understand business needs; summarizing and communicating findings from data; storytelling skills

Full Job Description

At Veracyte, we offer exciting career opportunities for those interested in joining a pioneering team that is committed to transforming cancer care for patients across the globe. Working at Veracyte enables our employees to not only make a meaningful impact on the lives of patients, but to also learn and grow within a purpose driven environment. This is what we call the Veracyte way – it’s about how we work together, guided by our values, to give clinicians the insights they need to help patients make life-changing decisions. Our Values: We Seek A Better Way: We pursue bold ideas, embrace complexity, and keep pushing forward. We Make It Happen: We act with urgency, deliver with excellence, and always find a way. We Are Stronger Together: We engage with empathy, align around what's best for Veracyte, and celebrate as one team. We Care Deeply: We show up with integrity, kindness, and respect for one another. The Position: We are seeking a talented and experienced data scientist III (contractor) to join our Data Analysis Team (DAT), as part of the R&D group for Veracyte Inc. This position offers a unique opportunity to work with experienced professionals to carry out AI/ML modelling and analysis of the world’s largest database of cancer patients, encompassing multi-platform digital pathology, genomic and clinical outcome data. The primary objective of this role is to analyze millions of records of real-world insurance claims and EHR data to define clinical treatments and outcomes. The successful candidate needs to be proficient in state-of-art data extraction, transformation and loading (ETL), and statistical analysis to convert data into meaningful insights and stories. The candidate will also need to communicate and understand business needs, identify relevant data, process and analyze data accordingly. Experience of academic writing and prepare data/figures for manuscript are necessary for success in this position. The candidate should also be able to design graphic

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