Goal templates — Statistical Consulting — P2
Statistical Consulting · Statistical Consulting · P2 — Developing Professional
These are canon-derived frames, not advice: every line is either verbatim JobFrame canon text or a fixed template wrapping it. ⟨target⟩ / ⟨baseline⟩ / ⟨date⟩ are placeholders for the manager to fill in. Nothing here is generated by AI — rows are omitted, never invented, when the canon lacks the underlying field.
SMART goals
One row per canon core output / responsibility this level owns.
JFM responsibility (P2)
Performs basic analyses in SAS, R, or STATA under direction, executing supervised, execution-focused analytic work
- Specific
- Deliver: "Performs basic analyses in SAS, R, or STATA under direction, executing supervised, execution-focused analytic work"
- Measurable
- Move the metric this drives from ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩.
- Achievable
- Scoped to this level's jfm complexity/problem-solving rubric: "Moderate; exercises judgment in familiar analytic contexts, escalating non-routine issues to senior statisticians."
- Relevant
- Advances the Statistical Consulting · Statistical Consulting mandate for a P2 — Developing Professional.
- Time-bound
- ⟨date⟩
JFM responsibility (P2)
Cleans and validates datasets—organizing, checking for inaccuracies, weighting, and structuring raw data to CDISC conventions prior to analysis
- Specific
- Deliver: "Cleans and validates datasets—organizing, checking for inaccuracies, weighting, and structuring raw data to CDISC conventions prior to analysis"
- Measurable
- Move the metric this drives from ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩.
- Achievable
- Scoped to this level's jfm complexity/problem-solving rubric: "Moderate; exercises judgment in familiar analytic contexts, escalating non-routine issues to senior statisticians."
- Relevant
- Advances the Statistical Consulting · Statistical Consulting mandate for a P2 — Developing Professional.
- Time-bound
- ⟨date⟩
JFM responsibility (P2)
Prepares tables, charts, and visualizations (including in Excel and Tableau) to support senior statisticians
- Specific
- Deliver: "Prepares tables, charts, and visualizations (including in Excel and Tableau) to support senior statisticians"
- Measurable
- Move the metric this drives from ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩.
- Achievable
- Scoped to this level's jfm complexity/problem-solving rubric: "Moderate; exercises judgment in familiar analytic contexts, escalating non-routine issues to senior statisticians."
- Relevant
- Advances the Statistical Consulting · Statistical Consulting mandate for a P2 — Developing Professional.
- Time-bound
- ⟨date⟩
JFM responsibility (P2)
Supports senior statisticians with model development and contributes drafted sections to statistical analysis plans
- Specific
- Deliver: "Supports senior statisticians with model development and contributes drafted sections to statistical analysis plans"
- Measurable
- Move the metric this drives from ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩.
- Achievable
- Scoped to this level's jfm complexity/problem-solving rubric: "Moderate; exercises judgment in familiar analytic contexts, escalating non-routine issues to senior statisticians."
- Relevant
- Advances the Statistical Consulting · Statistical Consulting mandate for a P2 — Developing Professional.
- Time-bound
- ⟨date⟩
JFM responsibility (P2)
Supports data analysis in clinical research or medical investigations following defined procedures
- Specific
- Deliver: "Supports data analysis in clinical research or medical investigations following defined procedures"
- Measurable
- Move the metric this drives from ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩.
- Achievable
- Scoped to this level's jfm complexity/problem-solving rubric: "Moderate; exercises judgment in familiar analytic contexts, escalating non-routine issues to senior statisticians."
- Relevant
- Advances the Statistical Consulting · Statistical Consulting mandate for a P2 — Developing Professional.
- Time-bound
- ⟨date⟩
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1. Performs basic analyses in SAS, R, or STATA under direction, executing supervised, execution-focused analytic work [source: JFM responsibility (P2)] Specific: Deliver: "Performs basic analyses in SAS, R, or STATA under direction, executing supervised, execution-focused analytic work" Measurable: Move the metric this drives from ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩. Achievable: Scoped to this level's jfm complexity/problem-solving rubric: "Moderate; exercises judgment in familiar analytic contexts, escalating non-routine issues to senior statisticians." Relevant: Advances the Statistical Consulting · Statistical Consulting mandate for a P2 — Developing Professional. Time-bound: ⟨date⟩ 2. Cleans and validates datasets—organizing, checking for inaccuracies, weighting, and structuring raw data to CDISC conventions prior to analysis [source: JFM responsibility (P2)] Specific: Deliver: "Cleans and validates datasets—organizing, checking for inaccuracies, weighting, and structuring raw data to CDISC conventions prior to analysis" Measurable: Move the metric this drives from ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩. Achievable: Scoped to this level's jfm complexity/problem-solving rubric: "Moderate; exercises judgment in familiar analytic contexts, escalating non-routine issues to senior statisticians." Relevant: Advances the Statistical Consulting · Statistical Consulting mandate for a P2 — Developing Professional. Time-bound: ⟨date⟩ 3. Prepares tables, charts, and visualizations (including in Excel and Tableau) to support senior statisticians [source: JFM responsibility (P2)] Specific: Deliver: "Prepares tables, charts, and visualizations (including in Excel and Tableau) to support senior statisticians" Measurable: Move the metric this drives from ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩. Achievable: Scoped to this level's jfm complexity/problem-solving rubric: "Moderate; exercises judgment in familiar analytic contexts, escalating non-routine issues to senior statisticians." Relevant: Advances the Statistical Consulting · Statistical Consulting mandate for a P2 — Developing Professional. Time-bound: ⟨date⟩ 4. Supports senior statisticians with model development and contributes drafted sections to statistical analysis plans [source: JFM responsibility (P2)] Specific: Deliver: "Supports senior statisticians with model development and contributes drafted sections to statistical analysis plans" Measurable: Move the metric this drives from ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩. Achievable: Scoped to this level's jfm complexity/problem-solving rubric: "Moderate; exercises judgment in familiar analytic contexts, escalating non-routine issues to senior statisticians." Relevant: Advances the Statistical Consulting · Statistical Consulting mandate for a P2 — Developing Professional. Time-bound: ⟨date⟩ 5. Supports data analysis in clinical research or medical investigations following defined procedures [source: JFM responsibility (P2)] Specific: Deliver: "Supports data analysis in clinical research or medical investigations following defined procedures" Measurable: Move the metric this drives from ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩. Achievable: Scoped to this level's jfm complexity/problem-solving rubric: "Moderate; exercises judgment in familiar analytic contexts, escalating non-routine issues to senior statisticians." Relevant: Advances the Statistical Consulting · Statistical Consulting mandate for a P2 — Developing Professional. Time-bound: ⟨date⟩
OKRs
Objectives from this level's core outputs; key results only where a real dimension or capability backs them.
JFM responsibility (P2)
Performs basic analyses in SAS, R, or STATA under direction, executing supervised, execution-focused analytic work
- From ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩ — tied to: "Performs basic analyses in SAS, R, or STATA under direction, executing supervised, execution-focused analytic work"
- Evidence at this level's scope bar: "Defined deliverables / small features" — ⟨target⟩ by ⟨date⟩
JFM responsibility (P2)
Cleans and validates datasets—organizing, checking for inaccuracies, weighting, and structuring raw data to CDISC conventions prior to analysis
- From ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩ — tied to: "Cleans and validates datasets—organizing, checking for inaccuracies, weighting, and structuring raw data to CDISC conventions prior to analysis"
- Evidence at this level's autonomy bar: "General supervision; reviewed at milestones" — ⟨target⟩ by ⟨date⟩
JFM responsibility (P2)
Prepares tables, charts, and visualizations (including in Excel and Tableau) to support senior statisticians
- From ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩ — tied to: "Prepares tables, charts, and visualizations (including in Excel and Tableau) to support senior statisticians"
- Evidence at this level's complexity bar: "Some non-routine problems; applies established patterns" — ⟨target⟩ by ⟨date⟩
JFM responsibility (P2)
Supports senior statisticians with model development and contributes drafted sections to statistical analysis plans
- From ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩ — tied to: "Supports senior statisticians with model development and contributes drafted sections to statistical analysis plans"
- Evidence at this level's impact bar: "Own and immediate-team deliverables" — ⟨target⟩ by ⟨date⟩
JFM responsibility (P2)
Supports data analysis in clinical research or medical investigations following defined procedures
- From ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩ — tied to: "Supports data analysis in clinical research or medical investigations following defined procedures"
- Evidence at this level's decision rights bar: "Routine technical choices within guidance" — ⟨target⟩ by ⟨date⟩
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Objective 1: Performs basic analyses in SAS, R, or STATA under direction, executing supervised, execution-focused analytic work [source: JFM responsibility (P2)] KR1. From ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩ — tied to: "Performs basic analyses in SAS, R, or STATA under direction, executing supervised, execution-focused analytic work" KR2. Evidence at this level's scope bar: "Defined deliverables / small features" — ⟨target⟩ by ⟨date⟩ Objective 2: Cleans and validates datasets—organizing, checking for inaccuracies, weighting, and structuring raw data to CDISC conventions prior to analysis [source: JFM responsibility (P2)] KR1. From ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩ — tied to: "Cleans and validates datasets—organizing, checking for inaccuracies, weighting, and structuring raw data to CDISC conventions prior to analysis" KR2. Evidence at this level's autonomy bar: "General supervision; reviewed at milestones" — ⟨target⟩ by ⟨date⟩ Objective 3: Prepares tables, charts, and visualizations (including in Excel and Tableau) to support senior statisticians [source: JFM responsibility (P2)] KR1. From ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩ — tied to: "Prepares tables, charts, and visualizations (including in Excel and Tableau) to support senior statisticians" KR2. Evidence at this level's complexity bar: "Some non-routine problems; applies established patterns" — ⟨target⟩ by ⟨date⟩ Objective 4: Supports senior statisticians with model development and contributes drafted sections to statistical analysis plans [source: JFM responsibility (P2)] KR1. From ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩ — tied to: "Supports senior statisticians with model development and contributes drafted sections to statistical analysis plans" KR2. Evidence at this level's impact bar: "Own and immediate-team deliverables" — ⟨target⟩ by ⟨date⟩ Objective 5: Supports data analysis in clinical research or medical investigations following defined procedures [source: JFM responsibility (P2)] KR1. From ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩ — tied to: "Supports data analysis in clinical research or medical investigations following defined procedures" KR2. Evidence at this level's decision rights bar: "Routine technical choices within guidance" — ⟨target⟩ by ⟨date⟩
MBO areas
Key result areas from this level's responsibilities, each with a standard grounded in the canon leveling rubric where one exists.
| Area | Standard | Target | Due |
|---|---|---|---|
| Performs basic analyses in SAS, R, or STATA under direction, executing supervised, execution-focused analytic work | Consistent with this level's jfm knowledge-application rubric: "Applies foundational statistical methods and programming (SAS, R, STATA) to conventional analytic tasks; data cleaning to CDISC structure, descriptive analyses, and table production within defined procedures." | ⟨target⟩ | ⟨date⟩ |
| Cleans and validates datasets—organizing, checking for inaccuracies, weighting, and structuring raw data to CDISC conventions prior to analysis | Consistent with this level's jfm knowledge-application rubric: "Applies foundational statistical methods and programming (SAS, R, STATA) to conventional analytic tasks; data cleaning to CDISC structure, descriptive analyses, and table production within defined procedures." | ⟨target⟩ | ⟨date⟩ |
| Prepares tables, charts, and visualizations (including in Excel and Tableau) to support senior statisticians | Consistent with this level's jfm knowledge-application rubric: "Applies foundational statistical methods and programming (SAS, R, STATA) to conventional analytic tasks; data cleaning to CDISC structure, descriptive analyses, and table production within defined procedures." | ⟨target⟩ | ⟨date⟩ |
| Supports senior statisticians with model development and contributes drafted sections to statistical analysis plans | Consistent with this level's jfm knowledge-application rubric: "Applies foundational statistical methods and programming (SAS, R, STATA) to conventional analytic tasks; data cleaning to CDISC structure, descriptive analyses, and table production within defined procedures." | ⟨target⟩ | ⟨date⟩ |
| Supports data analysis in clinical research or medical investigations following defined procedures | Consistent with this level's jfm knowledge-application rubric: "Applies foundational statistical methods and programming (SAS, R, STATA) to conventional analytic tasks; data cleaning to CDISC structure, descriptive analyses, and table production within defined procedures." | ⟨target⟩ | ⟨date⟩ |
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1. Area: Performs basic analyses in SAS, R, or STATA under direction, executing supervised, execution-focused analytic work [source: JFM responsibility (P2) — reused, no distinct responsibility content] Standard: Consistent with this level's jfm knowledge-application rubric: "Applies foundational statistical methods and programming (SAS, R, STATA) to conventional analytic tasks; data cleaning to CDISC structure, descriptive analyses, and table production within defined procedures." Target: ⟨target⟩ Due: ⟨date⟩ 2. Area: Cleans and validates datasets—organizing, checking for inaccuracies, weighting, and structuring raw data to CDISC conventions prior to analysis [source: JFM responsibility (P2) — reused, no distinct responsibility content] Standard: Consistent with this level's jfm knowledge-application rubric: "Applies foundational statistical methods and programming (SAS, R, STATA) to conventional analytic tasks; data cleaning to CDISC structure, descriptive analyses, and table production within defined procedures." Target: ⟨target⟩ Due: ⟨date⟩ 3. Area: Prepares tables, charts, and visualizations (including in Excel and Tableau) to support senior statisticians [source: JFM responsibility (P2) — reused, no distinct responsibility content] Standard: Consistent with this level's jfm knowledge-application rubric: "Applies foundational statistical methods and programming (SAS, R, STATA) to conventional analytic tasks; data cleaning to CDISC structure, descriptive analyses, and table production within defined procedures." Target: ⟨target⟩ Due: ⟨date⟩ 4. Area: Supports senior statisticians with model development and contributes drafted sections to statistical analysis plans [source: JFM responsibility (P2) — reused, no distinct responsibility content] Standard: Consistent with this level's jfm knowledge-application rubric: "Applies foundational statistical methods and programming (SAS, R, STATA) to conventional analytic tasks; data cleaning to CDISC structure, descriptive analyses, and table production within defined procedures." Target: ⟨target⟩ Due: ⟨date⟩ 5. Area: Supports data analysis in clinical research or medical investigations following defined procedures [source: JFM responsibility (P2) — reused, no distinct responsibility content] Standard: Consistent with this level's jfm knowledge-application rubric: "Applies foundational statistical methods and programming (SAS, R, STATA) to conventional analytic tasks; data cleaning to CDISC structure, descriptive analyses, and table production within defined procedures." Target: ⟨target⟩ Due: ⟨date⟩
Scorecard
Only perspectives with real canon backing are shown — no Financial or Customer perspective, since nothing in the canon grounds business-financial or customer measures for a role alone.
Internal process
- "Performs basic analyses in SAS, R, or STATA under direction, executing supervised, execution-focused analytic work"→ ⟨target⟩ by ⟨date⟩
- "Cleans and validates datasets—organizing, checking for inaccuracies, weighting, and structuring raw data to CDISC conventions prior to analysis"→ ⟨target⟩ by ⟨date⟩
- "Prepares tables, charts, and visualizations (including in Excel and Tableau) to support senior statisticians"→ ⟨target⟩ by ⟨date⟩
- "Supports senior statisticians with model development and contributes drafted sections to statistical analysis plans"→ ⟨target⟩ by ⟨date⟩
- "Supports data analysis in clinical research or medical investigations following defined procedures"→ ⟨target⟩ by ⟨date⟩
Role calibration
- Meets the scope bar: "Defined deliverables / small features"→ ⟨target⟩ by ⟨date⟩
- Meets the autonomy bar: "General supervision; reviewed at milestones"→ ⟨target⟩ by ⟨date⟩
- Meets the complexity bar: "Some non-routine problems; applies established patterns"→ ⟨target⟩ by ⟨date⟩
- Meets the impact bar: "Own and immediate-team deliverables"→ ⟨target⟩ by ⟨date⟩
- Meets the decision rights bar: "Routine technical choices within guidance"→ ⟨target⟩ by ⟨date⟩
- Meets the leadership bar: "May guide interns"→ ⟨target⟩ by ⟨date⟩
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Internal process - "Performs basic analyses in SAS, R, or STATA under direction, executing supervised, execution-focused analytic work" → ⟨target⟩ by ⟨date⟩ [source: JFM responsibility (P2)] - "Cleans and validates datasets—organizing, checking for inaccuracies, weighting, and structuring raw data to CDISC conventions prior to analysis" → ⟨target⟩ by ⟨date⟩ [source: JFM responsibility (P2)] - "Prepares tables, charts, and visualizations (including in Excel and Tableau) to support senior statisticians" → ⟨target⟩ by ⟨date⟩ [source: JFM responsibility (P2)] - "Supports senior statisticians with model development and contributes drafted sections to statistical analysis plans" → ⟨target⟩ by ⟨date⟩ [source: JFM responsibility (P2)] - "Supports data analysis in clinical research or medical investigations following defined procedures" → ⟨target⟩ by ⟨date⟩ [source: JFM responsibility (P2)] Role calibration - Meets the scope bar: "Defined deliverables / small features" → ⟨target⟩ by ⟨date⟩ [source: level dimension (Scope)] - Meets the autonomy bar: "General supervision; reviewed at milestones" → ⟨target⟩ by ⟨date⟩ [source: level dimension (Autonomy)] - Meets the complexity bar: "Some non-routine problems; applies established patterns" → ⟨target⟩ by ⟨date⟩ [source: level dimension (Complexity)] - Meets the impact bar: "Own and immediate-team deliverables" → ⟨target⟩ by ⟨date⟩ [source: level dimension (Impact)] - Meets the decision rights bar: "Routine technical choices within guidance" → ⟨target⟩ by ⟨date⟩ [source: level dimension (Decision rights)] - Meets the leadership bar: "May guide interns" → ⟨target⟩ by ⟨date⟩ [source: level dimension (Leadership)]