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Internship Biotech Data Analyst Jobs in Calgary, AB

Symend

Finance Analyst

Calgary, AB · On-site

Prepare data and analysis to support quarterly reforecasts, scenario modelling, and cashflow ... Co-op, internship, or relevant project-based experience strongly preferred. * Exposure to financial ...

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Internship Biotech Data Analyst information

What does an internship biotech data analyst do?

An Internship Biotech Data Analyst supports research and development teams in biotechnology companies by collecting, processing, and analyzing complex biological data. They use statistical tools and software to interpret experimental results, identify trends, and help drive decision-making in projects such as drug discovery, genomics, or clinical trials. Interns often work alongside experienced data analysts and scientists, gaining hands-on experience with real-world datasets and contributing to ongoing research efforts.

What types of projects or data sets might I work with as an internship biotech data analyst?

As an Internship Biotech Data Analyst, you can expect to work with real-world biological or clinical data, such as genomic sequences, protein structures, or patient trial results. Projects often involve cleaning, analyzing, and visualizing these datasets to support research or product development. You'll likely collaborate closely with scientists, senior analysts, and sometimes software engineers to interpret findings and present actionable insights. This hands-on experience not only strengthens your technical skills but also helps you understand how data analysis drives innovation in the biotech industry.

What are the key skills and qualifications needed to thrive as an internship biotech data analyst, and why are they important?

To thrive as an Internship Biotech Data Analyst, you need a foundation in biology or biotechnology, statistical analysis, and data interpretation, typically gained through coursework or relevant internships. Familiarity with data analysis tools such as Python, R, Excel, and experience with bioinformatics databases or platforms like BLAST is highly beneficial. Strong attention to detail, problem-solving abilities, and effective communication skills make candidates stand out in this role. These competencies are crucial for accurately analyzing complex biological data, supporting research projects, and conveying findings to multidisciplinary teams.

What is the difference between Internship Biotech Data Analyst vs Biotech Data Scientist?

AspectInternship Biotech Data AnalystBiotech Data Scientist
Required CredentialsEnrolled in or recent graduate of related degree (e.g., biology, bioinformatics, data analysis)Advanced degree (Master's or PhD) in data science, bioinformatics, or related fields
Work EnvironmentInternship setting in biotech or pharmaceutical companies, labs, or research institutionsFull-time role in biotech firms, research centers, or biotech startups
Employer & Industry UsageUsed for entry-level training, skill development, and gaining industry experienceUsed for advanced data analysis, modeling, and research projects

The Internship Biotech Data Analyst is an entry-level position focused on gaining practical experience in biotech data analysis, often requiring relevant coursework or a recent degree. In contrast, a Biotech Data Scientist typically holds advanced degrees and performs complex data modeling and research tasks. The internship provides foundational skills, while the data scientist role involves more specialized expertise and responsibilities.

Can a biotechnology student become a data analyst?

Yes, a biotechnology student can become a data analyst by developing skills in data management, statistical analysis, and tools like Excel, SQL, or Python. Gaining knowledge of data visualization and relevant industry applications can also improve job prospects in biotech data analysis roles.

How do I get an internship at a biotech data analyst?

To secure an internship as a biotech data analyst, candidates should have a strong background in biology, data analysis, and programming languages like Python or R. Gaining experience through relevant coursework, certifications, or projects, and applying to internships via company websites or job portals, can improve chances. Strong analytical skills and familiarity with biotech databases and tools are also beneficial.

What are the most commonly searched types of Biotech Data Analyst jobs in Calgary, AB?

The most popular types of Biotech Data Analyst jobs in Calgary, AB are:

What are popular job titles related to Internship Biotech Data Analyst jobs in Calgary, AB?

For Internship Biotech Data Analyst jobs in Calgary, AB, the most frequently searched job titles are:

What job categories do people searching Internship Biotech Data Analyst jobs in Calgary, AB look for?

The top searched job categories for Internship Biotech Data Analyst jobs in Calgary, AB are:

Internship Biotech Data Analyst jobs near you

Deals Real Assets, Data Engineering & Digital Solutions,Senior Associate

PwC

Calgary, AB

Full-time

Re-posted 26 days ago

PwC rating

8.3

Company rating: 8.3 out of 10

Based on 77 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants

Job description

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Capital Projects

Management Level

Senior Associate

Job Description & Summary

A career within Deals, Capital Projects and Infrastructure, part of our Real Assets group, will provide you with the opportunity to deliver innovative deal solutions to our clients, providing advice and support, from initiation through to completion. In short,we'rea part of helping some of the world's leading companies and governments across many industries originate, create, execute, andrealizevalue.
The Real Assets teamadvisesgovernments and businesses in the delivery of complex infrastructure and capital projects and programs. As part of our team, you'll leverage your technical expertise in data engineering and software development to build the digital tools, platforms, and data solutions that power our advisory capabilities, enabling clients to optimize capital programs, ensure project success, and navigate constrained budgets or challenging situations.

The Opportunity:

As a Deals, Real Assets Senior Associate - Data Engineering & Digital Solutions, unlock your potential and embrace the chance to drive meaningful outcomesthat'llelevate your career. Your role will include, butisn'tlimited to:

  • Data Engineering & Pipeline Development

  • Architect, design, and develop robust, end-to-end data pipelinesutilizingAzure Data Factory, Azure Databricks, and Azure Synapse Analytics

  • Design and implement data models within Azure Data Lake,leveragingMedallion Architecture and building complex business logic into scalable, efficient transformations

  • Develop processes to ingest data from a wide variety of sources, including relational databases (SQL, Oracle), APIs, flat files, and project management systems

  • Automate data workflows and implement CI/CD practices for data pipelines using Azure DevOps or GitHub Actions to ensure quality and rapid deployment

  • Monitor, troubleshoot, andoptimizedata solutions for performance, scalability, and cost-effectiveness

  • Proactivelyidentifyand resolve performance bottlenecks in data pipelines, data partitioning strategies, and cost-control measures across Azure data services

  • Lead the development, build, and maintenance of internal tools and applications using Python, including Generative AI modules, automation scripts, and data processing pipelines to enhance the team's advisory capabilities on capital projects

  • Design, develop, andmaintaincustom web-based dashboards and interactive reporting tools using HTML, CSS, JavaScript, and Python-based frameworks (e.g., Flask, Dash,Streamlit)

  • Integrate AI-driven solutions into project advisory workflows (e.g., document analysis, benchmarking, risk identification, schedule analytics)

  • Ensure data quality, integrity, and governance by implementing best practices, data validation checks, and robust documentation

  • Participatein reviewingand validatingproject schedules and budgets,forecasting ofproject performance, and performing project risk assessments,monitoringand control.

  • Assistin the preparation of proposals and development of opportunities for the CP&I practice

  • Work closely with project advisors, data analysts, and business stakeholders to understand their data requirements and deliver high-quality data solutions

  • Perform site visits and inspections as needed

  • May require work on site, including travel to remote locations

What You'll Bring:

  • Relevant years of experience in data engineering, software development, or a related technical role (internships, co-ops, and academic projects count)

  • Exposure to or interest in capital projects, engineering consulting, project management, or construction management environments is an asset

  • Ability to troubleshoot and problem-solve, with a willingness to work through ambiguous or unfamiliar technical challenges and an openness to learning new tools and adapting how you work

  • Proficiencyor working knowledge of Python with the ability to develop tools, create reusable scripts for data analysis, and build data processing pipelines

  • Familiarity with core Azure data services (e.g., Azure Data Factory, Azure Databricks

  • Understanding of or exposure to data pipeline development concepts, including data warehousing principles, and data lake architectures

  • Working knowledge of SQL with the ability to write queries to extract and transform data from relational databases

  • Experience with front-end web technologies (HTML, CSS, JavaScript) and Python-based dashboard frameworks

  • Interest in or exposure to building Generative AI modules (e.g.,leveragingAPIs such as OpenAI, Anthropic, etc.) and integrating AI-driven solutions into advisory workflows

  • Awareness of Azure security best practices

  • Bachelor's degree in Computer Science, Engineering, Information Technology, or related fieldis ideal

  • MBA orandinterest in obtaining a professional designation (e.g., PMP, P.Eng., etc.) would be an asset

  • Willingness to travel whenrequired

  • Experience with construction claims is a plus

This newly created role reflects our commitment to growth and delivering distinctive value for our clients and stakeholders.

The salary range for this position is $58,400 - $97,500. The posted salary range represents the expected hiring range for PwC locations in major city centres. Given our national recruiting approach, ranges may vary for positions in other locations. At PwC Canada, base salary is determined by your skills, experience, qualifications and work location. In addition to base salary, eligible employees may have opportunities to participate in variable incentive pay programs which are designed to reward individual and firm-wide achievements. We are committed to offering competitive compensation and adhere to all relevant pay transparency legislation. During the hiring process, our Talent Acquisition team will provide details about our comprehensive total rewards package.

Whyyou'lllove PwC

We'reinspiring and empowering our people to change the world. Powered by the latest technology,you'llbe a part of diverse teams helping public and private clients build trust and deliver sustained outcomes. This meaningful work, and our continuous development environment, will take your career to the next level. We reward your impact, and support yourwellbeing,through a competitive compensation package, inclusive benefits and flexibility programs that will help you thrive in work and life. Learn more about our Application Process and Total Rewards Package at:https://jobs-ca.pwc.com/ca/en/life-at-pwc

PwC Canada acknowledges that we work and live across Turtle Island, on the land that is now known as Canada, which are the lands of the ancestral, treaty and unceded territories of the First Nations,Metisand Inuit Peoples. We recognize the systemic racism,colonialismand oppression that Indigenous Peoples have experienced and still go through, and we commit to allyship and solidarity.

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Budgetary Management, Capital Management (CM), Capital Raising, Cash Flow Analysis, Communication, Contingency Planning, Contract Lifecycle Management, Contractor Management, Cost Estimate Preparation, Cost Management, Cost Reduction, Creativity, Embracing Change, Emotional Regulation, Empathy, Financial Management, Financial Modeling, Financial Risk Management, Inclusion, Intellectual Curiosity, Investment Management {+ 19 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

We're committed to providing accommodation throughout the application, interview, and employment process. If you require accommodation to be at your best, please let us know during the application process.The use of artificial intelligence (AI) in recruiting is just getting started, so we know you have questions about how and why we use it. At certain points during our recruiting process, we rely on AI to improve your experience. This could be during resume review or curating personalized job recommendations, asking you clarifying questions via a chatbot or during our interview scheduling to improve your experience. Our use of AI helps ensure we combat bias by evaluating candidates equally and fairly, without seeing identity information, such as your name, or gender for example). AI also helps us better predict successful hires by reviewing all applicants for a role and the relationship between your skills, experience and likely success at PwC Canada. While AI supports parts of our recruitment process, final hiring decisions always involve human review. For more information about our use and protection of your data, please refer to our Privacy Policy (https://www.pwc.com/ca/en/privacy-policy.html).Nous tenons a repondre a vos besoins tout au long du processus de demande d'emploi, d'entrevue et d'embauche. Si vous avez besoin de mesures d'adaptation pour etre parfaitement a l'aise, faites-le-nous savoir a l'etape de la demande d'emploi.L'utilisation de l'intelligence artificielle (IA) dans le domaine du recrutement en est a ses balbutiements. Nous savons que vous pourriez vous demander comment et pourquoi nous y avons recours. A certains stades de notre processus de recrutement, nous comptons sur l'IA pour ameliorer votre experience. Par exemple, pendant l'examen du curriculum vit ou l'elaboration d'une liste de recommandations personnalisees, un agent conversationnel pourrait vous demander des precisions ou fixer avec vous un rendez-vous pour l'entrevue. L'IA nous aide a mieux lutter contre les prejuges, car l'evaluation des candidats se fait de facon juste et equitable, sans que les informations d'identification comme le nom ou le sexe soient connues. Elle nous permet egalement de mieux reperer les bons candidats pour un poste et d'evaluer le lien entre leurs competences, leur experience et leurs chances de reussir chez PwC Canada. Bien que l'IA facilite certaines etapes de notre processus de recrutement, les decisions finales d'embauche sont toujours prises par des personnes. Pour en savoir plus sur l'utilisation et la protection de vos donnees personnelles, consultez notre politique sur la protection des renseignements confidentiels (https://www.pwc.com/ca/fr/privacy-policy.html).

What PwC employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK

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