\nVerana Health, a digital health company that delivers quality drug lifecycle and medical practice insights from an exclusive real-world data network, recently secured a $150 million Series E led by Johnson & Johnson Innovation – JJDC, Inc. (JJDC) and Novo Growth, the growth-stage investment arm of Novo Holdings. \n\nExisting Verana Health investors GV (formerly Google Ventures), Casdin Capital, and Brook Byers also joined the round, as well as notable new investors, including the Merck Global Health Innovation Fund, THVC, and Breyer Capital.\n\nWe are driven to create quality real-world data in ophthalmology, neurology and urology to accelerate quality insights across the drug lifecycle and within medical practices. Additionally, we are driven to advance the quality of care and quality of life for patients. DRIVE defines our internal purpose and is the galvanizing force that helps ground us in a shared corporate culture. DRIVE is: Diversity, Responsibility, Integrity, Voice-of-Customer and End-Results. Click here to read more about our culture and values. \n\n Our headquarters are located in San Francisco and we have additional offices in Knoxville, TN and New York City with employees working remotely in AZ, CA, CO, CT, FL, GA, IL, LA, MA, NC, NJ, NY, OH, OR, PA, TN, TX, UT , VA, WA, WI. All employees are required to have permanent residency in one of these states. Candidates who are willing to relocate are also encouraged to apply. \n\nJob Title: Data Engineer\n\nJob Intro:\n\nAs a Data/Software Engineer at Verana Health, you will be responsible for extending a set of tools used for data pipeline development.  You will have strong hands-on experience in design & development of cloud services.  Deep understanding of data quality metadata management, data ingestion, and curation.  Generate software solutions using Apache Spark, Hive, Presto, and other big data frameworks.  Analyzing the systems and requirements to provide the best technical solutions with regard to flexibility, scalability, and reliability of underlying architecture.  Document and improve software testing and release processes across the entire data team.\n\nJob Duties and Responsibilities:\n\n\nArchitect, implement, and maintain scalable data architectures to meet data processing and analytics requirements utilizing AWS and Databricks\n\nAbility to troubleshoot complex data issues and optimize pipelines taking into consideration data quality, computation and cost.\n\nCollaborate with cross-functional teams to understand and translate data needed into effective data pipeline solutions\n\nDesign solutions to solving problems related to ingestion and curation of highly variable data structures in a highly concurrent cloud environment.\n\nRetain metadata for tracking of execution details to reproducibility and providing operational metrics.\n\nCreate routines to add observability and alerting to the health of pipelines.\n\nEstablish data quality checks and ensure data integrity and accuracy throughout the data lifecycle.\n\nResearch , perform proof-of-concept and leverage performant database technologies(like Aurora Postgres, Elasticsearch, Redshift) to support end user applications that need sub second response time.\n\nParticipate in code reviews.\n\nProactive in staying updated with industry trends and emerging technologies in data engineering.\n\nDevelopment of data services using RESTful API’s which are secure(oauth/saml), scalable(containerized using dockers), observable (using monitoring tools like datadog, elk stack), documented using OpenAPI/Swagger by using frameworks in python/java  and automated CI/CD deployment using Github actions.\n\nDocument data engineering processes , architectures, and configurations.\n\n\n\n\nBasic Requirements:\n\n\nA minimum of a BS degree in computer science, software engineering, or related scientific discipline.\n\nA minimum of 3 years of experience in software development\n\nStrong programming skills in languages such as Python/Pyspark, SQL\n\nExperience with Delta lake, Unity Catalog, Delta Sharing, Delta live tables(DLT)\n\nExperience with data pipeline orchestration tools - Airflow, Databricks Workflows\n\n1 year of experience working in AWS cloud computing environment, preferably with Lambda, S3, SNS, SQS\n\nUnderstanding of Data Management principles(governance, security, cataloging, life cycle management, privacy, quality)\n\nGood understanding of relational databases.\n\nDemonstrated ability to build software tools in a collaborative, team oriented environment that are product and customer driven.\n\nStrong communication and interpersonal skills\n\nUtilizes source code version control.\n\nHands-on experience with Docker containers and container orchestration.\n\n\n\n\nBonus:\n\n\nHealthcare and medical data experience is a plus.\n\nAdditional experience with modern compiled programming languages (C++, Go, Rust)\n\nExperience building HTTP/REST APIs using popular frameworks\n\nBuilding out extensive automated test suites\n\n\n\n\nBenefits:\n\nWe provide health, vision, and dental coverage for employees\n\n\n\n\n\n\n\nVerana pays 100% of employee insurance coverage and 70% of family\n\nPlus an additional monthly $100 individual / $200 HSA contribution with HDHP\n\n\n\n\n\n\n\n\nSpring Health mental health support\n\nFlexible vacation plans\n\nA generous parental leave policy and family building support through the Carrot app\n\n$500 learning and development budget\n\n$25/wk in Doordash credit\n\nHeadspace meditation app - unlimited access\n\nGympass -  3 free live classes per week + monthly discounts for gyms like Soulcycle\n\n\n\n\nFinal note:\n\nYou do not need to match every listed expectation to apply for this position. Here at Verana, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.\n\n \n\n \n\n \n\n  \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Docker, Testing, Cloud and Engineer jobs that are similar:\n\n $70,000 — $100,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nMemora Health works with leading healthcare organizations to make complex care journeys simple for patients and clinicians so that care is more accessible, actionable, and always-on. Our team is rapidly growing as we expand our programs to reach more health systems and patients, and we are excited to bring on a Senior Data Engineer. \n\nIn this role, you will have the responsibility of driving the architecture, design and development of our data warehouse and analytics solutions, alongside APIs that allow other internal teams to interact with our data. The ideal candidate will be able to collaborate effectively with Memora’s Product Management, Engineering, QA, TechOps and business stakeholders.\n\nThis role will work closely with the cross-functional teams to understand customer pain points and identify, prioritize, and implement maintainable solutions. Ideal candidates will be driven not only by the problem we are solving but also by the innovative approach and technology that we are applying to healthcare - looking to make a significant impact on healthcare delivery. We’re looking for someone with exceptional curiosity and enthusiasm for solving hard problems.\n\n Primary Responsibilities:\n\n\n* Collaborate with Technical Lead, fellow engineers, Product Managers, QA, and TechOps to develop, test, secure, iterate, and scale complex data infrastructure, data models, data pipelines, APIs and application backend functionality.\n\n* Work closely with cross-functional teams to understand customer pain points and identify, prioritize, and implement maintainable solutions\n\n* Promote product development best practices, supportability, and code quality, both through leading by example and through mentoring other software engineers\n\n* Manage and pare back technical debts and escalate to Technical Lead and Engineering Manager as needed\n\n* Establish best practices designing, building and maintaining data models.\n\n* Design and develop data models and transformation layers to support reporting, analytics and AI/ML capabilities.\n\n* Develop and maintain solutions to enable self-serve reporting and analytics.\n\n* Build robust, performant ETL/ELT data pipelines.\n\n* Develop data quality monitoring solutions to increase data quality standards and metrics accuracy.\n\n\n\n\nQualifications (Required):\n\n\n* 3+ years experience in shipping, maintaining, and supporting enterprise-grade software products\n\n* 3+ years of data warehousing / analytics engineering\n\n* 3+ years of data modeling experience\n\n* Disciplined in writing readable, testable, and supportable code in JavaScript, TypeScript, Node.js (Express), Python (Flask, Django, or FastAPI), or Java.\n\n* Expertise writing, and consuming RESTful APIs\n\n* Experience with relational or NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis, etc.)\n\n* Experience with Data Warehouses (BigQuery, Snowflake, etc.)\n\n* Experience with analytical and reporting tools, such as Looker or Tableau\n\n* Inclination toward test-driven development and test automation\n\n* Experience with scrum methodology\n\n* Excels in mentoring junior engineers\n\n* B.S. in Computer Science or other quantitative fields or related work experience\n\n\n\n\nQualifications (Bonus):\n\n\n* Understanding of DevOps practices and technologies (Docker, Kubernetes, CI / CD, test coverage and automation, branch and release management)\n\n* Experience with security tooling in SDLC and Security by Design principles\n\n* Experience with observability and APM tooling (Sumo Logic, Splunk, Sentry, New Relic, Datadog, etc.)\n\n* Experience with an integration framework (Mirth Connect, Mule ESB, Apache Nifi, Boomi, etc..)\n\n* Experience with healthcare data interoperability frameworks (FHIR, HL7, CCDA, etc.)\n\n* Experience with healthcare data sources (EHRs, Claims, etc.)\n\n* Experience working at a startup\n\n\n\n\n\n\nWhat You Get:\n\n\n* An opportunity to work on a rapidly scaling care delivery platform, engaging thousands of patients and care team members and growing 2-3x annually\n\n* Enter a highly collaborative environment and work on the fun challenges of scaling a high-growth startup\n\n* Work alongside world-class clinical, operational, and technical teams to build and scale Memora\n\n* Shape how leading health systems and plans think about modernizing the care delivery experience for their patients and care teams\n\n* Improve the way care is delivered for hundreds of thousands of patients\n\n* Gain deep expertise about healthcare transformation and direct customer exposure with the country’s most innovative health systems and plans\n\n* Ownership over your success and the ability to significantly impact the growth of our company\n\n* Competitive salary and equity compensation with benefits including health, dental, and vision coverage, flexible work hours, paid maternity/paternity leave, bi-annual retreats, Macbook, and a 401(k) plan\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, DevOps, NoSQL, Senior, Engineer and Backend jobs that are similar:\n\n $60,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

Doximity is transforming the healthcare industry. Our mission is to help doctors save time so they can provide better care for patients.\n\nWe value diversity — in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds to help build the future of healthcare.\n\nOur data analytics team is deliberate and self-reflective about the kind of data team and culture that we are building, seeking data analysts that are not only strong in their own aptitudes but care deeply about supporting each other's growth. We have one of the richest healthcare datasets in the world, and our team brings a diverse set of technical and cultural backgrounds.\n\n**How you’ll make an impact:**\n* Collaborate with a team of product managers, analysts, data scientists, and other developers to define and complete data projects\n* Show off your coding skills by creating data products from scratch and streamlining/automating existing code\n* Leverage Doximity's extensive data sets to identify and classify behavioral patterns of medical professionals on our platform\n* Play a key role in creating both product- and client-facing analytics\n* Grow into a presentation/communication-focused role or dive deeper into more-involved technical challenges - the choice is yours\n* Learn from experienced mentors and build your technical and non-technical skill sets\n\n**What we're looking for:**\n* B.S. or M.S. in a quantitative field with 2-4 years of experience\n* Decent knowledge of statistics and visualization\n* Fluent in SQL and python. These skills are an absolute must\n* Comfortable with UNIX command line interface and standard programming tools (vim/emacs, git, etc.)\n* Excellent problem solving skills and a strong attention to detail\n* Ability to manage time well and prioritize incoming tasks from different stakeholders\n* Fast learner; curiosity about and passion for data\n* Familiarity with Lean and Agile philosophies\n* Data storage solutions: Snowflake, HDFS, Neo4j, Elasticsearch\n* Workflow management: Airflow\n\n**Nice to haves:**\n* Prior exposure to machine learning techniques (regressors, classifiers, etc) is a plus\n* Experience leveraging Apache Spark to perform analyses or process data is a plus\n* We historically favor Python, Kafka, Spark, and MySQL (leveraging SQLAlchemy), but use other tools when appropriate for the job at hand\n\n**Fun facts about the Insights team:**\n* We have access to one of the richest healthcare datasets in the world, with deep information on hundreds of thousands of healthcare professionals and their connections\n* The members of our team bring a diverse set of technical and cultural backgrounds\n* Business decisions at Doximity are driven by our data, analyses, and insights\n* We like to have fun - company outings, team lunches, and happy hours\n\n**About Doximity**\n\nWe’re thrilled to be named the Fastest Growing Company in the Bay Area, and one of Fast Company’s Most Innovative Companies. Joining Doximity means being part of an incredibly talented and humble team. We work on amazing products that over 70% of US doctors (and over one million healthcare professionals) use to make their busy lives a little easier. We’re driven by the goal of improving inefficiencies in our $2.5 trillion U.S. healthcare system and love creating technology that has a real, meaningful impact on people’s lives. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We’re growing fast, and there’s plenty of opportunities for you to make an impact—join us!\n\nDoximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. \n\nPlease mention the words **SOAP ROTATE PICNIC** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xMDA=). This is a feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Data Science, Analyst, Medical and Apache jobs that are similar:\n\n $80,000 — $122,500/year\n

Doximity is transforming the healthcare industry. Our mission is to help doctors save time so they can provide better care for patients.\n\nWe value diversity — in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds to help build the future of healthcare. Our data analytics team is deliberate and self-reflective about the kind of data team and culture that we are building, seeking data analysts that are not only strong in their own aptitudes but care deeply about supporting each other's growth. We have one of the richest healthcare datasets in the world, and our team brings a diverse set of technical and cultural backgrounds.\n\n**How you’ll make an impact:**\n* Collaborate with a team of product managers, analysts, data scientists, and other developers to define and complete data projects.\n* Show off your coding skills by creating data products from scratch and streamlining/automating existing code.\n* Leverage Doximity's extensive data sets to identify and classify behavioral patterns of medical professionals on our platform.\n* Play a key role in creating both product- and client-facing analytics.\n* Grow into a presentation/communication-focused role or dive deeper into more-involved technical challenges - the choice is yours.\n* Learn from experienced mentors and build your technical and non-technical skill sets.\n\n**What we’re looking for:**\n* B.S. or M.S. in quantitative field with 2-4 years of experience\n* Decent knowledge of statistics and visualization\n* Fluent in SQL and python. These skills are an absolute must\n* Comfortable with UNIX command line interface and standard programming tools (vim/emacs, git, etc.)\n* Excellent problem solving skills and a strong attention to detail\n* Ability to manage time well and prioritize incoming tasks from different stakeholders\n* Fast learner; curiosity about and passion for data\n* Prior exposure to machine learning techniques (regressors, classifiers, etc) is a plus\n* Experience leveraging Apache Spark to perform analyses or process data is a plus\n\n**About Doximity**\n\nWe’re thrilled to be named the Fastest Growing Company in the Bay Area, and one of Fast Company’s Most Innovative Companies. Joining Doximity means being part of an incredibly talented and humble team. We work on amazing products that over 70% of US doctors (and over one million healthcare professionals) use to make their busy lives a little easier. We’re driven by the goal of improving inefficiencies in our $2.5 trillion U.S. healthcare system and love creating technology that has a real, meaningful impact on people’s lives. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We’re growing fast, and there’s plenty of opportunity for you to make an impact—join us!\n\n*Doximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.* \n\nPlease mention the words **CUSTOM COFFEE LAZY** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xMDA=). This is a feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Data Science, Analyst, Medical, Apache and Non Tech jobs that are similar:\n\n $80,000 — $120,000/year\n

Doximity is transforming the healthcare industry. Our mission is to help doctors save time so they can provide better care for patients.\n\nWe value diversity — in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds to help build the future of healthcare. Our data analytics team is deliberate and self-reflective about the kind of data team and culture that we are building, seeking data analysts that are not only strong in their own aptitudes but care deeply about supporting each other's growth. We have one of the richest healthcare datasets in the world, and our team brings a diverse set of technical and cultural backgrounds.\n\n**How you’ll make an impact:**\n\n* Collaborate with a team of product managers, analysts, data scientists, and other developers to define and complete data projects.\n* Show off your coding skills by creating data products from scratch and streamlining/automating existing code.\n* Leverage Doximity's extensive data sets to identify and classify behavioral patterns of medical professionals on our platform.\n* Play a key role in creating both product- and client-facing analytics.\n* Grow into a presentation/communication-focused role or dive deeper into more-involved technical challenges - the choice is yours.\n* Learn from experienced mentors and build your technical and non-technical skill sets.\n\n**What we’re looking for:**\n\n* B.S. or M.S. in quantitative field with 2-4 years of experience\n* Decent knowledge of statistics and visualization\n* Fluent in SQL and python. These skills are an absolute must\n* Comfortable with UNIX command line interface and standard programming tools (vim/emacs, git, etc.)\n* Excellent problem solving skills and a strong attention to detail\n* Ability to manage time well and prioritize incoming tasks from different stakeholders\n* Fast learner; curiosity about and passion for data\n* Prior exposure to machine learning techniques (regressors, classifiers, etc) is a plus\n* Experience leveraging Apache Spark to perform analyses or process data is a plus\n\n**About Doximity**\n\nWe’re thrilled to be named the Fastest Growing Company in the Bay Area, and one of Fast Company’s Most Innovative Companies. Joining Doximity means being part of an incredibly talented and humble team. We work on amazing products that over 70% of US doctors (and over one million healthcare professionals) use to make their busy lives a little easier. We’re driven by the goal of improving inefficiencies in our $2.5 trillion U.S. healthcare system and love creating technology that has a real, meaningful impact on people’s lives. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We’re growing fast, and there’s plenty of opportunity for you to make an impact—join us!\n\n*Doximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.* \n\nPlease mention the words **SWARM THRIVE ZEBRA** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xMDA=). This is a feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Data Science, Analyst, Medical, Apache and Non Tech jobs that are similar:\n\n $80,000 — $120,000/year\n

Doximity is transforming the healthcare industry. Our mission is to help doctors save time so they can provide better care for patients.\n\nWe value diversity — in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds to help build the future of healthcare. Our data science team is deliberate and self-reflective about the kind of data team and culture that we are building, seeking data scientists and engineers that are not only strong in their own aptitudes but care deeply about supporting each other's growth. We have one of the richest healthcare datasets in the world, and our team brings a diverse set of technical and cultural backgrounds.\n\nDoximity’s social network has over 70% of US doctors as members and 40M connections among them. We currently are looking for a data scientist to lead a team of other data scientists, data engineers and data analysts with the goal of utilizing this medical graph to better connect and promote discussion among our clinician members.\n\n**How you’ll make an impact:**\n\n* Build link prediction models to recommend colleagues for our members to connect and engage with (the “people you may know” problem) to increase user engagement across Doximity’s platforms.\n* Leverage data from Doximity’s social graph to improve the user personalization models that recommend medical and social content to our clinician members.\n* Discover trends and new business opportunities from physician’s medical claims and referral networks.\n* Provide technical leadership to other data scientists and data engineers working on our growth and colleaguing product teams.\n\n**What we’re looking for:**\n\n* 4+ years of industry experience and M.S./Ph.D. in Computer Science, Engineering, Statistics, or other relevant technical field.\n* 4+ years experience with various machine learning methods (classification, clustering, natural language processing, ensemble methods) and parameters that affect their performance.\n* Experience applying graph theory, analytics, and processing to industry problems.\n* Solid engineering skills to build scalable solutions and help automate data processing challenges.\n* Desire to provide technical leadership and mentorship to other data team members.\n* Excellent problem-solving skills and ability to connect data science work to product impacts.\n* Fluent in SQL and Python; experience using Apache Spark (pyspark)\n* Experience working with relational and non-relational databases.\n\n**Nice to have:**\n\n* Experience with neo4j and either Spark GraphX or GraphFrames for performing graph analytics\n\n**About Doximity**\n\nWe’re thrilled to be named the Fastest Growing Company in the Bay Area, and one of Fast Company’s Most Innovative Companies. Joining Doximity means being part of an incredibly talented and humble team. We work on amazing products that over 70% of US doctors (and over one million healthcare professionals) use to make their busy lives a little easier. We’re driven by the goal of improving inefficiencies in our $2.5 trillion U.S. healthcare system and love creating technology that has a real, meaningful impact on people’s lives. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We’re growing fast, and there’s plenty of opportunity for you to make an impact—join us!\n\n*Doximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.* \n\n# Requirements\nUse apply button \n\nPlease mention the words **MOTHER SAY MUSIC** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xMDA=). This is a feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Data Science, Senior, Stats, Medical and Apache jobs that are similar:\n\n $80,000 — $125,000/year\n

Doximity is transforming the healthcare industry. Our mission is to help doctors save time so they can provide better care for patients.\n\nWe value diversity — in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds to help build the future of healthcare. Our data science team is deliberate and self-reflective about the kind of data team and culture that we are building, seeking data scientists and engineers that are not only strong in their own aptitudes but care deeply about supporting each other's growth. We have one of the richest healthcare datasets in the world, and our team brings a diverse set of technical and cultural backgrounds.\n\nDoximity’s social network has over 70% of US doctors as members and 40M connections among them. We currently are looking for a data scientist to lead a team of other data scientists, data engineers and data analysts with the goal of utilizing this medical graph to better connect and promote discussion among our clinician members.\n\nHow you’ll make an impact:\n\n-Build link prediction models to recommend colleagues for our members to connect and engage with (the “people you may know” problem) to increase user engagement across Doximity’s platforms.\n-Leverage data from Doximity’s social graph to improve the user personalization models that recommend medical and social content to our clinician members.\n-Discover trends and new business opportunities from physician’s medical claims and referral networks.\n-Provide technical leadership to other data scientists and data engineers working on our growth and colleaguing product teams.\n\nWhat we’re looking for:\n\n-4+ years of industry experience and M.S./Ph.D. in Computer Science, Engineering, Statistics, or other relevant technical field.\n-4+ years experience with various machine learning methods (classification, clustering, natural language processing, ensemble methods) and parameters that affect their performance.\n-Experience applying graph theory, analytics, and processing to industry problems.\n-Solid engineering skills to build scalable solutions and help automate data processing challenges.\n-Desire to provide technical leadership and mentorship to other data team members.\n-Excellent problem-solving skills and ability to connect data science work to product impacts.\n-Fluent in SQL and Python; experience using Apache Spark (pyspark)\n-Experience working with relational and non-relational databases.\n\nNice to have:\n\n-Experience with neo4j and either Spark GraphX or GraphFrames for performing graph analytics\n\nAbout Doximity\n\nWe’re thrilled to be named the Fastest Growing Company in the Bay Area, and one of Fast Company’s Most Innovative Companies. Joining Doximity means being part of an incredibly talented and humble team. We work on amazing products that over 70% of US doctors (and over one million healthcare professionals) use to make their busy lives a little easier. We’re driven by the goal of improving inefficiencies in our $2.5 trillion U.S. healthcare system and love creating technology that has a real, meaningful impact on people’s lives. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We’re growing fast, and there’s plenty of opportunity for you to make an impact—join us!\n\nDoximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. \n\nPlease mention the words **SKIN PROUD MAJOR** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xMDA=). This is a feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Machine Learning, Data Science, Senior, Stats, Medical and Apache jobs that are similar:\n\n $80,000 — $125,000/year\n