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Doximity

Senior Software Engineer, Data

Posted An Hour Ago
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In-Office or Remote
2 Locations
147K-213K Annually
Senior level
Easy Apply
In-Office or Remote
2 Locations
147K-213K Annually
Senior level
The Senior Software Engineer will enhance AI-based products, collaborate on data pipelines and ETL tasks, and establish data architecture best practices.
The summary above was generated by AI

Doximity is transforming the healthcare industry. Join our mission to help every physician be more productive and provide better care for their patients. As medicine's largest network in the United States, there's an elevated level of responsibility in everything we do. We don't take that responsibility lightly and are committed to building diverse teams with an inclusive culture that can make a direct impact on the healthcare system.

One of Doximity's core values is stretching ourselves. Even if you don't check off all the boxes below we encourage you to apply. Doximity is full of exceptional people who bring their own unique experiences to work everyday and make us all better for it!

This role can be filled in our San Francisco headquarters OR remotely in either the US, Mexico, Brazil or Canada.

About you

  • Expert in Python and Fluent in SQL. You have developed maintainable data pipelines with them.
  • Foremost an engineer. You exemplify high code quality and guide others. 
  • Good engineering tools. You are experienced in creating automated testing, applying design patterns, and other engineering best practices.
  • See a project from end-to-end. You have led several projects, your own ideas and other's. This means from idea generation to planning, execution, through delivering.
  • ML/AI aficionado. You understand the building blocks required to deploy, measure and monitor the success of ML/AI based applications and are eager to use this understanding to support data driven development.

Here's How You Will Make an Impact

  • Evolve an AI-based transcription and note generation product for clinicians.
  • Collaborate with Data Analysts and Developers to design, implement and improve LLM evaluation strategies and possible architectures, steering future iterations of this product.
  • Collaborate with product managers, data analysts, and machine learning engineers to develop pipelines and ETL tasks in order to facilitate the extraction of insights.
  • Establish data architecture processes and practices that can be scheduled, automated, replicated and serve as standards for other teams to leverage.

About Us

  • Explore our stack
  • We have over 500 private repositories in Github containing our pipelines, our own internal multi-functional tools, and open-source projects
  • We have worked as a distributed team for a long time; we're currently about 65% distributed
  • Find out more information on the Doximity engineering blog
  • Our company core values
  • Our recruiting process
  • Our product development cycle
  • Our on-boarding & mentorship process

Compensation

The US total compensation range for this full-time position is $147,000 - $213,000 (inclusive of salary + equity). Our ranges are determined by role and level. The range displayed on each job posting reflects the approximate total target compensation for the position across the US. Within the range, individual pay is determined by factors including relevant skills, experience, and education/training. Please note that the compensation listed does not include benefits.

More on /Benefits/Perks 

Doximity is proud to offer industry-leading benefits to our full time employees. Some of our offerings include: 

  • Medical, dental, vision offerings for you and your family
  • 401k with matching program
  • Employee stock purchase plan
  • Family planning support, Childcare FSA, and parental leave
  • Life, AD&D, and Disability
  • Generous time off, holidays and paid company trips
  • Wellness benefits…plus many more!

More About Doximity…

For the past decade, it’s been our mission to help every physician be more productive so they can provide better care for their patients. We believe that when doctors are connected, the healthcare system works better and patients benefit. Doximity enables our verified clinician members to collaborate with colleagues, stay up-to-date with the latest medical news and research, manage their careers, and conduct virtual patient visits. Today, Doximity is the leading digital platform for U.S. medical professionals, with over 80% of physicians, 50% of all nurse practitioners and physician assistants, and 90% of graduating medical students as members. 

Joining Doximity means being part of an incredibly talented and humble team passionate about improving inefficiencies in our $4.3 trillion U.S. healthcare system. We are a team of doers who solve problems everyday by treating obstacles like an adventure, and we love creating technology that has a real, meaningful impact on people’s lives. Doxers are committed to working towards a more equitable world both within and beyond our office walls. This starts by fostering an inclusive and diverse work environment where differences are valued and all employees are encouraged to bring their full, authentic selves to work daily. 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! For more information, visit Doximity.com.

____________________________________________

EEOC Statement

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.

Top Skills

AI
Ml
Python
SQL

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