Data Engineer
Reno, NV · On-site +1
$58.83 - $82.37/hr
Reno, NV (Remote or Hybrid) Salary Range: $58.83-$82.37 per hour Primary Responsibilities ... learning health, machine learning model development, and deployment. * Design, direct, and ...
Data Engineer
Reno, NV · On-site +1
$58.83 - $82.37/hr
Reno, NV (Remote or Hybrid) Salary Range: $58.83-$82.37 per hour Primary Responsibilities ... learning health, machine learning model development, and deployment. * Design, direct, and ...
Remote Machine Learning Postdoc information
Is ML a high paying job?
Machine learning postdoctoral positions are generally well-paid compared to many academic roles, with salaries often ranging from $60,000 to over $100,000 annually depending on experience, location, and funding. These roles typically require strong programming skills in Python or R and knowledge of algorithms and data analysis, which can contribute to higher compensation levels.
Is a PhD in ML worth it?
A PhD in machine learning can enhance qualifications for a remote machine learning postdoc position, often leading to higher-level research opportunities and increased earning potential. However, it requires significant time investment and may not be necessary for industry roles that value practical skills and experience with tools like Python and TensorFlow. The decision depends on career goals and the specific requirements of the desired position.
What are the key skills and qualifications needed to thrive as a Remote Machine Learning Postdoc, and why are they important?
A Remote Machine Learning Postdoc requires a PhD in computer science, statistics, or a related field, with expertise in machine learning algorithms, statistical modeling, and research methodologies. Proficiency in programming languages like Python or R, experience with machine learning frameworks such as TensorFlow or PyTorch, and familiarity with version control systems (e.g., Git) are typically necessary. Strong written and verbal communication, self-motivation, and collaboration skills are vital for remote research and effective teamwork. These capabilities enable impactful independent research, smooth collaboration across distributed teams, and the successful dissemination of findings to the wider scientific community.
Is a postdoc harder than a PhD?
A remote machine learning postdoc typically involves more specialized research, higher expectations for independence, and often requires advanced skills in programming and data analysis. While a PhD focuses on completing a dissertation and gaining foundational expertise, a postdoc emphasizes producing publishable research and may involve longer hours and greater responsibility, making it generally more demanding in terms of research output and expertise. However, the difficulty varies based on individual experience and research environment.
What is a Remote Machine Learning Postdoc?
A Remote Machine Learning Postdoc is a postdoctoral researcher specializing in machine learning who works predominantly or entirely from a location outside their host institution, often from home. Their work involves conducting advanced research, developing new algorithms, analyzing data, and publishing findings related to machine learning while collaborating virtually with faculty and research teams. This role is ideal for researchers seeking flexibility or those who cannot relocate but wish to contribute to academic or industrial research from a distance.
Do you need H-1B for postdoc?
A remote machine learning postdoctoral position typically does not require H-1B sponsorship if the candidate is already authorized to work in the country, such as through a visa or citizenship. However, international candidates may need H-1B or other work visas depending on the employer and local immigration laws. Employers often sponsor visas for postdocs to comply with legal requirements and facilitate employment.
What are some common challenges faced by remote machine learning postdocs when collaborating with research teams?
Remote machine learning postdocs often encounter challenges related to communication and coordination, especially when working across different time zones or with teams that have varying schedules. Effective collaboration usually requires proactive communication through virtual meetings, shared code repositories, and regular progress updates. Building rapport with colleagues and staying engaged with ongoing research discussions can take extra effort remotely, but leveraging collaborative tools and participating in virtual seminars or group chats can help bridge the gap. Being organized and self-motivated is key to ensuring productive contributions to the team’s research objectives.
What are popular job titles related to Remote Machine Learning Postdoc jobs in Reno, NV? For Remote Machine Learning Postdoc jobs in Reno, NV, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Postdoc jobs in Reno, NV look for? The top searched job categories for Remote Machine Learning Postdoc jobs in Reno, NV are:
What cities near Reno, NV are hiring for Remote Machine Learning Postdoc jobs? Cities near Reno, NV with the most Remote Machine Learning Postdoc job openings:
$58.83 - $82.37/hr
Full-time
Posted 8 days ago
Job description
Job Title: Data Engineer
Location: Reno, NV (Remote or Hybrid)
Salary Range: $58.83-$82.37 per hour
Primary Responsibilities:
- Experience with AWS infrastructure including AWS Connect and AWS Lambda.
- Manage and optimize the movement and validation of data from an Epic EMR system to SQL databases in AWS or Azure and either from or to the Salesforce platform.
- Accountable for data engineering lifecycle including research, proof of concepts, architecture, design, development, test, deployment, and maintenance.
- Oversee the development of novel data pipelines that integrate and normalize large data from a variety of sources to enable learning health, machine learning model development, and deployment.
- Design, direct, and implement ETL processes, including data capture, data quality, testing, and validation methods.
- Layer in instrumentation in the development process so that data pipelines can be monitored.
- Build processes and diagnostic tools to troubleshoot, maintain, and optimize engineering environments and respond to production issues.
- Provide subject matter expertise and hands-on delivery of data capture, curation, and consumption pipelines for AWS.
- Participate in deep architectural discussions to build confidence and ensure customer success when building new solutions and migrating existing data applications on the Azure platform.
- Develop documentation, such as data dictionaries, guides, or data flow diagrams that assist staff in identifying, locating, and using the organizations data.
Incumbent Must Possess:
- Minimum of 3 years of SQL programming experience and associated SQL tools (SSIS, SSMS, SSRS, etc.).
- Experience with Visual Studio is preferred.
- At least 3 years of experience in developing data ingestion, data processing, and analytical pipelines for big data, relational databases, NoSQL, and data warehouse solutions.
- Minimum of 3 years of RDBMS experience.
- Extensive hands-on experience implementing data migration and data processing using Amazon Web Services. Includes knowledge of Amazon Connect and Amazon Lambda.
- Knowledge of medical terminology, especially ICD-10 codes, CPT codes, DRG codes, and an understanding of adjudicated claims data.
- Excellent verbal and written communication skills.
Minimum Qualifications:
- Education: Masters degree with 10 years experience preferred; Bachelors degree with 13 years of equivalent experience will be considered in place of masters degree requirement.
- Experience: Requires a minimum of 10 years experience with at least five (5) years working in data management, data engineering, or data architecture. Enterprise Data Warehouse development preferred; Requires at least five (5) years working with healthcare data; more is preferred. SQL proficiency is required.
- License(s): None
- Certification(s): Certification work related to Epic or Amazon Cloud may be required within 1 year of starting employment.
- Computer / Typing: Must be proficient with Microsoft Office Suite, including Outlook, PowerPoint, Excel, and Word and can use the computer to complete online learning requirements for job-specific competencies, access online forms and policies, complete online benefits enrollment, etc.
This role offers a unique opportunity to work on cutting-edge data engineering projects in the healthcare industry. If you meet the qualifications and are excited about the potential of this role, we encourage you to apply.