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Remote Data Science Startup Jobs in Arizona (NOW HIRING)

micro1 AI

Digital Chemistry Specialist - Remote

Mesa, AZ · Remote

$90 - $120/hr

Contractor Location: Remote micro1 is engaging Bioinformatics Scientists to contribute their ... data interpretation within medicinal chemistry. * Assess AI-generated outputs for scientific ...

micro1 AI

AI Training Specialist - Life Sciences

Yuma, AZ · Remote

$90 - $120/hr

Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science. * Experience collaborating in multidisciplinary or remote project environments is ...

micro1 AI

AI Training Specialist - Life Sciences

Tempe, AZ · Remote

$90 - $120/hr

Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science. * Experience collaborating in multidisciplinary or remote project environments is ...

micro1 AI

AI Training Specialist - Life Sciences

Mesa, AZ · Remote

$90 - $120/hr

Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science. * Experience collaborating in multidisciplinary or remote project environments is ...

Achieve

Sr. Data Analyst

Tempe, AZ · On-site +1

  • Medical

  • Dental

  • Vision

Qualifications What you'll bring: * 5+ years of experience in data science, quantitative business ... Hybrid and remote work opportunities * Medical, dental, and vision with HSA and FSA options Note:

Achieve

Sr. Data Analyst

Tempe, AZ · On-site +1

$115K - $145K/yr

  • Medical

  • Dental

  • Vision

Qualifications What you'll bring: * 5+ years of experience in data science, quantitative business ... Hybrid and remote work opportunities * Medical, dental, and vision with HSA and FSA options Note:

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All JobsData Science Startup JobsRemote Data Science Startup JobsRemote Data Science Startup Jobs in Arizona

Remote Data Science Startup information

What is a remote data science startup?

A Remote Data Science Startup is a company focused on developing data-driven solutions, analytics, or products, with a team that primarily works remotely rather than from a central office. These startups leverage data science techniques such as machine learning, statistical analysis, and big data processing to solve business problems or create innovative products. Employees collaborate using digital tools and platforms, allowing for flexible work arrangements and access to a global talent pool. Remote data science startups often serve various industries, including healthcare, finance, e-commerce, and technology.

What are some unique challenges of working as a data scientist at a remote startup, and how can I prepare for them?

Working as a data scientist at a remote startup often involves navigating ambiguous project requirements, rapidly shifting priorities, and a high degree of autonomy. You may find yourself balancing multiple roles, such as data engineering and analysis, especially when the team is small. Strong communication skills are essential for collaborating effectively across time zones and ensuring alignment with product and business goals. Preparing by developing self-management habits, proactively seeking feedback, and becoming comfortable with remote collaboration tools will help you thrive in this dynamic environment.

What are the key skills and qualifications needed to thrive at a remote data science startup, and why are they important?

To thrive at a remote data science startup, you need strong analytical skills, proficiency in statistics, and experience with programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with tools such as Jupyter Notebook, SQL databases, cloud platforms (e.g., AWS, GCP), and version control systems like Git is typically required. Exceptional self-motivation, communication, and collaboration skills are crucial to excel in a remote and fast-paced startup environment. These competencies enable you to deliver actionable insights, adapt to rapid changes, and collaborate effectively across distributed teams.

What are the most commonly searched types of Data Science Startup jobs in Arizona?

The most popular types of Data Science Startup jobs in Arizona are:

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For Remote Data Science Startup jobs in Arizona, the most frequently searched job titles are:

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The top searched job categories for Remote Data Science Startup jobs in Arizona are:

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Remote Data Science Startup jobs near you

Digital Chemistry Specialist - Remote

micro1 AI

Glendale, AZ • Remote

$90 - $120/hr

Part-time

Posted 23 days ago

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

Apply